The Extract of Non-Financial Factors by Delphi Method - EuroJournals

The Extract of Non-Financial Factors by Delphi Method - EuroJournals The Extract of Non-Financial Factors by Delphi Method - EuroJournals

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European Journal of Economics, Finance and Administrative Sciences ISSN 1450-2275 Issue 28 (2011) © EuroJournals, Inc. 2011 http://www.eurojournals.com The Extract of Non-Financial Factors by Delphi Method Ataollah Mohammadi Malgharni PHD Student Accounting in Multimedia University in Malaysia E-mail: afsarata@yahoo.com Nakha Ratnam Soomasundaram Faulty of Management Multimedia University Saravanan Muthaiyah Faulty of Management Multimedia University Abstract One of the most proper procedures to reach purposes and targets in the studies is the Delphi methodology and the reason that differ this method from other methods is its ability to present a procedure to solicit and get consensus by professionals in the extent of emerging subject as while ameliorating problematic group developments like bias and pressure (Hasson et al. 2000, van Zolingen and Klaassen 2003, Landeta 2006). In the below research, the most important and significant non-financial items that may influence the investors’ decision making and judgment highly, is derived from experts. Items such as Variables of non-financial obtained, applying some Functions as relevant, profitability, influence on investor decision, dependability, result in the sale, effect in the cost. Their outlook regarding to the potential impact of this on the investors’ judgments is asked from them. Experts identified in field financial in the three rounds, 3 major variables consist of: customer satisfaction, employees’ satisfaction, firm internal process extracted of among 12 non-financial performance variables in an international conference in Malaysia. In the present research we tried to illustrate the importance of Delphi method as a significance technique that can be applied in fields like management, accounting, financial. Keywords: Delphi method-non-financial performance-Malaysia-non-financial variables Introduction to the Delphi Method The Rand Corporation developed The Delphi technique in the 1950’s. we define it as a technique for the “systematic solicitation and collation of decisions on a particular subject in the course of some sequential questionnaires which are designed charily and interspersed with summarized data and feedback of opinions obtained from previous results” (Delbecq, Van de Ven, & Gustafson, 1975, p.10). The advantages of this technique are its usefulness to do surveys with skilful people in a broad area and it doesn’t need contributors to gather in a particular place or even see each other. In order to obtain several purposes, we can apply The Delphi technique in planning situations. 1. We can resolve or progress a set probable program options. 2. We can search or interpret fundamental supposition or data which cases various decisions. 3. We can search data that may make a situation on the part of the respondent group. 4. We can associate up to date judgments on a subject spanning a wide range of disciplines. 5. We can educate the respondent group as to the varied and interrelated characteristic of the topic.(Delbecq et al., 1975, p. 11) We should select some of variables that are more significant according to those experts which are known in researches. Though, in the present research we have selected 12 non-financial

European Journal <strong>of</strong> Economics, Finance and Administrative Sciences<br />

ISSN 1450-2275 Issue 28 (2011)<br />

© <strong>EuroJournals</strong>, Inc. 2011<br />

http://www.eurojournals.com<br />

<strong>The</strong> <strong>Extract</strong> <strong>of</strong> <strong>Non</strong>-<strong>Financial</strong> <strong>Factors</strong> <strong>by</strong> <strong>Delphi</strong> <strong>Method</strong><br />

Ataollah Mohammadi Malgharni<br />

PHD Student Accounting in Multimedia University in Malaysia<br />

E-mail: afsarata@yahoo.com<br />

Nakha Ratnam Soomasundaram<br />

Faulty <strong>of</strong> Management Multimedia University<br />

Saravanan Muthaiyah<br />

Faulty <strong>of</strong> Management Multimedia University<br />

Abstract<br />

One <strong>of</strong> the most proper procedures to reach purposes and targets in the studies is the<br />

<strong>Delphi</strong> methodology and the reason that differ this method from other methods is its<br />

ability to present a procedure to solicit and get consensus <strong>by</strong> pr<strong>of</strong>essionals in the extent<br />

<strong>of</strong> emerging subject as while ameliorating problematic group developments like bias<br />

and pressure (Hasson et al. 2000, van Zolingen and Klaassen 2003, Landeta 2006). In<br />

the below research, the most important and significant non-financial items that may<br />

influence the investors’ decision making and judgment highly, is derived from experts.<br />

Items such as Variables <strong>of</strong> non-financial obtained, applying some Functions as relevant,<br />

pr<strong>of</strong>itability, influence on investor decision, dependability, result in the sale, effect in<br />

the cost. <strong>The</strong>ir outlook regarding to the potential impact <strong>of</strong> this on the investors’<br />

judgments is asked from them. Experts identified in field financial in the three rounds, 3<br />

major variables consist <strong>of</strong>: customer satisfaction, employees’ satisfaction, firm internal<br />

process extracted <strong>of</strong> among 12 non-financial performance variables in an international<br />

conference in Malaysia. In the present research we tried to illustrate the importance <strong>of</strong><br />

<strong>Delphi</strong> method as a significance technique that can be applied in fields like<br />

management, accounting, financial.<br />

Keywords: <strong>Delphi</strong> method-non-financial performance-Malaysia-non-financial<br />

variables<br />

Introduction to the <strong>Delphi</strong> <strong>Method</strong><br />

<strong>The</strong> Rand Corporation developed <strong>The</strong> <strong>Delphi</strong> technique in the 1950’s. we define it as a technique<br />

for the “systematic solicitation and collation <strong>of</strong> decisions on a particular subject in the course <strong>of</strong><br />

some sequential questionnaires which are designed charily and interspersed with summarized data<br />

and feedback <strong>of</strong> opinions obtained from previous results” (Delbecq, Van de Ven, & Gustafson,<br />

1975, p.10). <strong>The</strong> advantages <strong>of</strong> this technique are its usefulness to do surveys with skilful people in<br />

a broad area and it doesn’t need contributors to gather in a particular place or even see each other.<br />

In order to obtain several purposes, we can apply <strong>The</strong> <strong>Delphi</strong> technique in planning<br />

situations. 1. We can resolve or progress a set probable program options. 2. We can search or<br />

interpret fundamental supposition or data which cases various decisions. 3. We can search data that<br />

may make a situation on the part <strong>of</strong> the respondent group. 4. We can associate up to date judgments<br />

on a subject spanning a wide range <strong>of</strong> disciplines. 5. We can educate the respondent group as to the<br />

varied and interrelated characteristic <strong>of</strong> the topic.(Delbecq et al., 1975, p. 11)<br />

We should select some <strong>of</strong> variables that are more significant according to those experts<br />

which are known in researches. Though, in the present research we have selected 12 non-financial


62 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

performance variables and the selected variables in company. Thus, we have to select a few nonfinancial<br />

performance variables that are more considerable and that more may influence the<br />

investors’ decision making and judgment.<br />

Literature Review<br />

In synthesizing current literature that has sought to address this void (Hasson et al. 2000, Keeney et<br />

al 2006, Landeta 2006), the <strong>Delphi</strong> progression includes:<br />

1. A number <strong>of</strong> participants who are expert and/or specialized in the topic being considered,<br />

and they are chosen because <strong>of</strong> mentioned features;<br />

2. A course that involves numerous iterations or repetitions and the judgments <strong>of</strong> experts are<br />

explored, consensus is achieved, and significance is verified <strong>by</strong> those repetitions;<br />

3. A coordinator that allows experts to show and interact <strong>by</strong> the questionnaire instrument,<br />

limits extraneous data, and insures anonymity, control the feedback.<br />

4. Experts will make the data and it will be obtained afterward contributes to the ultimate<br />

respond or estimate.Delbecq, et al. (1975) illustrates the <strong>Delphi</strong> method as the below<br />

procedure:<br />

1. Make some questionnaires. Normally three or four questionnaires Mailed to the<br />

respondents are applied in order to achieve the essential information.<br />

2. Recognize, choose, and contact the respondents. Regularly we apply a nominating process<br />

where<strong>by</strong> key individuals may nominate someone with the expertise to take part in the<br />

research.<br />

3. Choose a sample size. Thirty is frequently applied as a higher bound as a consequence <strong>of</strong><br />

limited numbers <strong>of</strong> new opinions, three or four people is almost certainly too few, and<br />

frequently between ten and twenty people is logical.<br />

4. Develop the primary questionnaire, send it to the respondents, and get the results. For<br />

instance, the questionnaire may have ten to fifteen unlimited questions.<br />

5. Examine the information. Frequency or other criteria can set or sort the result <strong>of</strong> the<br />

questions.<br />

6. Develop the primary questionnaire, send it to the respondents, and get the results. This one<br />

is developed <strong>by</strong> the primary questioner results. It may ask respondents to assess the<br />

answers which are sorted and then rate them based on a scale.<br />

7. Examine the results. This examination must tally the votes for each <strong>of</strong> the responses;<br />

resolve various statistics such as mean, mode, standard deviation, and so on for each<br />

response; and finally, summarize additional responses for the next round.<br />

8. Develop the primary questionnaire, send it to the respondents, and get the results. Provide<br />

the respondents with the results <strong>of</strong> the second round and request them whether they tend to<br />

reassess their own second round replies.<br />

9. Examine the results. Conclude whether there is a consensus.<br />

10. Complete the final report (pp. 87-107).<br />

<strong>The</strong> <strong>Delphi</strong> technique is an iterative method which is applied in gathering and distilling the<br />

expert’s decisions via a set <strong>of</strong> questionnaires interspersed with feedback. <strong>The</strong> reason for developing<br />

the questioners is the requirment to concentrate on different subjects, opportunities, solutions, or<br />

forecasts. <strong>The</strong> questioners are designed according to the results obtained from last questionnaire.In<br />

the time when the questions are answered, the process would be discontinued, for instance, in the<br />

cases that consensus is reached, theoretical saturation is achieved, or when adequate data has been<br />

replaced.<strong>The</strong> source <strong>of</strong> <strong>Delphi</strong> technique is in the American business community, and has since<br />

been broadly recognized all through the world in various industry sectors such as business,<br />

education, data technology, transportation,…( Delbecq, et al. (1975)<br />

<strong>The</strong> way that the <strong>Delphi</strong> method has been applied can be an evident <strong>of</strong> its flexibility. <strong>The</strong><br />

<strong>Delphi</strong> method is a technique to set a group communication process in order to facilitate group<br />

problem solving and to make models (Linstone & Turl<strong>of</strong>f, 1975).We can apply the <strong>Delphi</strong> method<br />

as a decision-aiding or forecasting tool (Rowe & Wright, 1999), and use it in planning problems<br />

and administration (Delbeq, Van de Ven, & Gustafson, 1975). In the case when we don’t have<br />

enough knowledge regarding to a problem or phenomena, we can apply this method.It is also useful


63 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

in solving problems that not lend themselves to precise analytical method but relatively can benefit<br />

from the subjective judgments <strong>of</strong> individuals on a collective foundation (Adler & Ziglio, 1996) and<br />

to concentrate their collective human aptitude on the problem at hand (Linstone & Turl<strong>of</strong>f, 1975).<br />

<strong>Delphi</strong> method is beneficial in examining what does not yet exist (Czinkota & Ronkainen, 1997;<br />

Skulmoski & Hartman 2002).<strong>The</strong> <strong>Delphi</strong> technique is an established and very flexible research<br />

method applied in several studies arenas <strong>by</strong> researchers through the globe. We have to consider the<br />

sources <strong>of</strong> the <strong>Delphi</strong> method in order to understand its diversity in application.<br />

<strong>Method</strong>ology<br />

Hypothetically, the <strong>Delphi</strong> method can be incessantly iterated until consensus is determined to have<br />

been obtained. though, Cyphert and Gant (1971), Brooks (1979), Ludwig (1994, 1997), and Custer,<br />

Scarcella, and Stewart (1999) indicated that two or three iterations are <strong>of</strong>ten adequate to gather the<br />

required data and to achieve a consensus in most cases.<strong>The</strong> most proper method to obtain purposes<br />

and objectives is <strong>Delphi</strong> methodology, because it prepares a procedure to search and achieve<br />

consensus with experts on an up-and-coming matter while ameliorating problematic group<br />

procedures like bias and pressure (Hasson et al. 2000, van Zolingen and Klaassen 2003, Landeta<br />

2006). Although the following conversation, it shows guidelines for more than three iterations, so<br />

that it can be helpful for those who apply the <strong>Delphi</strong> method as a data collection way when it is<br />

determined that extra iterations beyond three are required or valuable.<br />

Round 1<br />

In this initial part <strong>of</strong> the questionnaire we need their states, viewpoint and plans regarding each <strong>of</strong><br />

the 12 functions (non-financial performance) <strong>of</strong> the list. In the primary round <strong>of</strong> the procedure, each<br />

member <strong>of</strong> the expert panel was asked to react to five open ended questions for each <strong>of</strong> 12 variables<br />

non-financial.<br />

F1 = customer satisfaction<br />

F2 = creativity<br />

F3 = innovation<br />

F4 = job satisfaction<br />

F5 = organization culture<br />

F6 = competitive stance<br />

F7 = motivation<br />

F8 = organization commitment<br />

F9 = organization behavior<br />

10 = productivity (Internal Business Processes)<br />

11 = research and development<br />

12 = efficiency<br />

All <strong>of</strong> the members <strong>of</strong> the expert panel replied to these open ended questions, and the results<br />

received were compiled based on the question number.Most <strong>of</strong> the respondents provided at least<br />

one full typewritten page <strong>of</strong> feedback. Qualitative analysis <strong>of</strong> the information started with the<br />

process <strong>of</strong> open coding. This process engages grouping comparable results together as themes<br />

emerge and affixing labels or codes (Neuman 1994).<br />

Appendage 1<br />

Section 1<br />

Questions used in this round were as follows:<br />

Function F1: Customer Satisfaction<br />

Please, comment on the whole <strong>of</strong> Function 1 (F1: customer satisfaction) when answering the<br />

following questions:


64 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

1. Do the elements <strong>of</strong> F1 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F1 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F1?<br />

4. What is over represented and/or should be excluded from F1?<br />

5. In your opinion, what are Weaknesses and strengths F1 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F2: Creativity<br />

Please, comment on the whole <strong>of</strong> Function 2 (F2: creativity) when answering the following<br />

questions:<br />

1. Do the elements <strong>of</strong> F2 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F2 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F2?<br />

4. What is over represented and/or should be excluded from F2?<br />

5. In your opinion, what are Weaknesses and strengths F2 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F3: Innovation<br />

Please, comment on the whole <strong>of</strong> Function 3 (F3: innovation) when answering the following<br />

questions:<br />

1. Do the elements <strong>of</strong> F3 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F3 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F3?<br />

4. What is over represented and/or should be excluded from F3?<br />

5. In your opinion, what are Weaknesses and strengths F3 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F4: Job Satisfaction<br />

Please, comment on the whole <strong>of</strong> Function 4(F4: job satisfaction) when answering the following<br />

questions:<br />

1. Do the elements <strong>of</strong> F4 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F4 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F4?<br />

4. What is over represented and/or should be excluded from F4?<br />

5. In your opinion, what are Weaknesses and strengths F4as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)


65 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

Function F5: Organization Culture<br />

Please, comment on the whole <strong>of</strong> Function 5 (F5: organization culture) when answering the<br />

following questions:<br />

1. Do the elements <strong>of</strong> F5 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F5 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F5?<br />

4. What is over represented and/or should be excluded from F5?<br />

5. In your opinion, what are Weaknesses and strengths F5 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F6: Competitive Stance<br />

Please, comment on the whole <strong>of</strong> Function 6 (F6: competitive stance) when answering the<br />

following questions:<br />

1. Do the elements <strong>of</strong> F6 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F6 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F6?<br />

4. What is over represented and/or should be excluded from F6?<br />

5. In your opinion, what are Weaknesses and strengths F6 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F7: Motivation<br />

Please, comment on the whole <strong>of</strong> Function 7 (F7: motivation) when answering the following<br />

questions:<br />

1. Do the elements <strong>of</strong> F7 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F7 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F7?<br />

4. What is over represented and/or should be excluded from F7?<br />

5. In your opinion, what are Weaknesses and strengths F7 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F8: Organization Commitment<br />

Please, comment on the whole <strong>of</strong> Function 8 (F8: organization commitment) when answering the<br />

following questions:<br />

1. Do the elements <strong>of</strong> F8 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F8 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F8?<br />

4. What is over represented and/or should be excluded from F8?


66 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

5. In your opinion, what are Weaknesses and strengths F8 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F9: Organization Behavior<br />

Please, comment on the whole <strong>of</strong> Function 9 (F9: organization behavior) when answering the<br />

following questions:<br />

1. Do the elements <strong>of</strong> F9 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F9 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F9?<br />

4. What is over represented and/or should be excluded from F9?<br />

5. In your opinion, what are Weaknesses and strengths F9 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F10: Productivity<br />

Please, comment on the whole <strong>of</strong> Function 10 (F10: productivity) when answering the following<br />

questions:<br />

1. Do the elements <strong>of</strong> F10 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F10 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F10?<br />

4. What is over represented and/or should be excluded from F10?<br />

5. In your opinion, what are Weaknesses and strengths F10 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F11: Research and Development<br />

Please, comment on the whole <strong>of</strong> Function 11 (F11: research and development) when answering the<br />

following questions:<br />

1. Do the elements <strong>of</strong> F11 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F11 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F11?<br />

4. What is over represented and/or should be excluded from F11?<br />

5. In your opinion, what are Weaknesses and strengths F11 as the application <strong>of</strong> nonfinancial<br />

information?(please write a short comment)<br />

Function F12: Efficiency<br />

Please, comment on the whole <strong>of</strong> Function 12 (F12: efficiency) when answering the following<br />

questions:<br />

1. Do the elements <strong>of</strong> F12 fully cover the non financial information <strong>of</strong> companies for<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short Comment).<br />

2. Do you think that it would be feasible to implement F12 as important information in<br />

investor’s judgment and making decision? (Please state if you agree or not and write a<br />

short comment).<br />

3. Is there anything missing within F12?


67 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

4. What is over represented and/or should be excluded from F12?<br />

5. In your opinion, what are Weaknesses and strengths F12 as the application <strong>of</strong> nonfinancial<br />

information? (please write a short comment).<br />

<strong>The</strong> Summary <strong>of</strong> the answer <strong>by</strong> Participation<br />

Number Q1=cove Q2=feasibility Q3=missing Q4= Over<br />

present/exclude<br />

F1 18 yes- c 18 yes f 20 yes O/e -yes18<br />

7 no -c 7 no -f 5 no <strong>Non</strong> o/e 7<br />

F2 11yes-c 15 yes f 12 yes 0/e-yes 14<br />

14no-c 10 no-f 13 no <strong>Non</strong> o/e 11<br />

F3 13yes-c 10 yes f 11 yes 0/e-yes 13<br />

12 no-c 15 no-f 14 no <strong>Non</strong> o/e 12<br />

F4 17yes-c 16 yes f 17 yes 0/e-yes 15<br />

8no-c 9 no-f 8 no <strong>Non</strong> o/e 10<br />

F5 15yes-c 12 yes f 9 yes 0/e-yes 11<br />

10-no-c 13 no-f 16 no <strong>Non</strong> o/e 14<br />

F6 15yes-c 11 yes f 8 yes 0/e-yes 12<br />

10no-c 14 no-f 17 no <strong>Non</strong> o/e 13<br />

F7 14-yes-c 16 yes f 11 yes 0/e-yes 8<br />

11-no-c 9 no-f 14 no <strong>Non</strong> o/e 17<br />

F8 17yes-c 15 yes f 12 yes 0/e-yes 11<br />

8no-c 10 no-f 13 no <strong>Non</strong> o/e 14<br />

F9 15yes-c 12yes f 11 yes 0/e-yes 10<br />

10no-c 13 no-f 14 no <strong>Non</strong> o/e 15<br />

F10 17-yes-c 18 yes f 16 yes 0/e-yes 17<br />

8no-c 7 no-f 9 no <strong>Non</strong> o/e 8<br />

F11 12yes-c 15 yes f 14 yes 0/e-yes 15<br />

13no-c 10 no-f 11 no <strong>Non</strong> o/e 10<br />

F12 11-yes-c 9 yes f 11 yes 0/e-yes 15<br />

14no-c 16 no-f 14 no <strong>Non</strong> o/e 10<br />

Descriptive<br />

Q5=Weaknesses and strengths<br />

23-It will be increase investors<br />

information for judgment<br />

14-It will be increase investors<br />

information for judgment<br />

16-It will be increase investors<br />

information for judgment<br />

19-It will be increase investors<br />

information for judgment<br />

17-It will be increase investors<br />

information for judgment<br />

15-It will be increase investors<br />

information for judgment<br />

18-It will be increase investors<br />

information for judgment<br />

14-It will be increase investors<br />

information for judgment<br />

15-It will be increase investors<br />

information for judgment<br />

21-It will be increase investors<br />

information for judgment<br />

13-It will be increase investors<br />

information for judgment<br />

14-It will be increase investors<br />

information for judgment<br />

Descriptive Statistics<br />

N Range Minimum Maximum Sum Mean<br />

Std.<br />

Deviation<br />

Variance<br />

Statistic Statistic Statistic Statistic Statistic Statistic<br />

Std.<br />

Error<br />

Statistic Statistic<br />

number 25 24 1 25 325 13.00 1.472 7.360 54.167<br />

F1 25 2 3 5 97 3.88 .145 .726 .527<br />

F10 25 3 2 5 89 3.56 .164 .821 .673<br />

F4 25 1 3 4 84 3.36 .098 .490 .240<br />

F8 25 3 2 5 69 2.76 .156 .779 .607<br />

F11 25 2 2 4 68 2.72 .147 .737 .543<br />

F7 25 2 2 4 67 2.68 .150 .748 .560<br />

F2 25 3 1 4 66 2.64 .162 .810 .657<br />

F5 25 3 1 4 64 2.56 .142 .712 .507<br />

F9 25 3 1 4 63 2.52 .165 .823 .677<br />

F3 25 3 1 4 63 2.52 .224 1.122 1.260<br />

F6 25 3 1 4 61 2.44 .174 .870 .757<br />

F12 25 3 1 4 59 2.36 .162 .810 .657<br />

Valid N<br />

(listwise)<br />

25<br />

Round 2<br />

In the second step <strong>of</strong> the questioner, we request additional thorough questions regarding to the<br />

particular competencies inside the list.A second questionnaire is given to each <strong>of</strong> the contributors<br />

and should review the items which the investigators have summarized them according to the results<br />

provided in the first section. We have asked for more opinions regarding to these competencies as<br />

the examination previously carried out highlighted that they were less repeatedly reported in the<br />

reference curricula. Consequently, we identify the areas <strong>of</strong> disagreement and agreement (Ludwig,


68 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

1994, p. 54-55).Frequency or similarity <strong>of</strong> response can categorize the first sections results, so that<br />

the number to a manageable level will reduce but yet keeping the essential meaning <strong>of</strong> the<br />

responses. We asked participants to rate the categorized results <strong>of</strong> part 1 on a scale <strong>of</strong> 1 to 5, with 1<br />

being “strongly not important” and 5 being “strongly important.” Subsequently, we, the following<br />

questions are associated with the competencies that have been least frequently reported in the<br />

reference curricula.<br />

1. Please rate the Importance <strong>of</strong> F1-12 within an up-to-date non-financial performance<br />

(applying a scale <strong>of</strong> 1-5. Where 1=strongly not important; 2= not important; 3=somewhat<br />

important 4=important 5=strongly important).<br />

2. Please write a brief remark on the score you gave.<br />

Appendage 2<br />

Section 2<br />

Descriptive<br />

[DataSet1] C:\Documents and Settings\admin\Desktop\delfi.sav<br />

Descriptive Statistics<br />

N Range Minimum Maximum Sum Mean<br />

Std.<br />

Deviation Variance<br />

Statistic Statistic Statistic Statistic Statistic Statistic<br />

Std.<br />

Error<br />

Statistic Statistic<br />

F1 25 14 10 24 465 18.60 .603 3.014 9.083<br />

F10 25 25 11 36 446 17.84 1.055 5.273 27.807<br />

F4 25 13 9 22 435 17.40 .611 3.055 9.333<br />

F11 25 16 10 26 433 17.32 .885 4.423 19.560<br />

F8 25 15 9 24 427 17.08 .614 3.068 9.410<br />

F5 25 11 12 23 426 17.04 .590 2.951 8.707<br />

F12 25 23 9 32 425 17.00 1.010 5.050 25.500<br />

F6 25 14 11 25 420 16.80 .658 3.291 10.833<br />

F3 25 14 8 22 410 16.40 .630 3.149 9.917<br />

F9 25 12 9 21 381 15.24 .620 3.099 9.607<br />

F2 25 10 10 20 363 14.52 .554 2.771 7.677<br />

F7 25 14 7 21 340 13.60 .586 2.930 8.583<br />

Valid N<br />

(listwise)<br />

25<br />

Round 3<br />

Yet again we sent the similar questionnaire for results with mean and std. Deviation section 2 and<br />

we want to again answer whether their ideas vary or not according to other response . Our reason<br />

for setting this section is determining whether there was a consensus. Through determining the<br />

mode <strong>of</strong> each response in section 2, we could analyze them. We requested participants to appraise<br />

their response and the modal response, reply again applying the same rating scale, and add any<br />

opinion about the responses. Furthermore, in this part we request experts’ comments regarding to<br />

the use <strong>of</strong> the List <strong>of</strong> Functions as the core knowledge, skills and thoughts <strong>of</strong> curricula for nonfinancial<br />

performance. We solicit their opinion concerning the potential effect <strong>of</strong> this on the<br />

investors’ judgment. In this part the <strong>Delphi</strong> penalties get a chance to make more amplification <strong>of</strong><br />

both the data and their judgments <strong>of</strong> the relative importance <strong>of</strong> the items. However, we expect only<br />

a slight increase in the degree <strong>of</strong> consensus when it is compared to the previous part ( Anglin, 1991;<br />

Jacobs, 1996).In this section, participants have the last chance to revise their judgments.<br />

We should mention that the number <strong>of</strong> <strong>Delphi</strong> iterations rely on the degree <strong>of</strong> consensus<br />

made <strong>by</strong> the investigators and can be various from three to five (Delbecq, Van de Ven, Gustafson,<br />

1975; Ludwig, 1994). Jones and Twiss (1978) indicate that the principal investigators <strong>of</strong> a <strong>Delphi</strong><br />

research must identify and choose the most proper individuals throughout a nomination procedure.<br />

Commonly, the pool <strong>of</strong> choosing potential <strong>Delphi</strong> items is expected to apply positional leaders<br />

(Kaplan, 1971; Ludwig, 1994), to follow a review <strong>of</strong> authors <strong>of</strong> publications in the literature<br />

(Meyer, 1992; Miller, 2001).


69 European Journal <strong>of</strong> Economics, Finance and Administrative Sciences - Issue 28 (2011)<br />

Appendage 3<br />

Section 3<br />

Descriptive<br />

[DataSet1] C:\Documents and Settings\admin\Desktop\section 3.sav<br />

Descriptive Statistics<br />

N Range Minimum Maximum Sum Mean<br />

Std.<br />

Deviation<br />

Variance<br />

Statistic Statistic Statistic Statistic Statistic Statistic<br />

Std.<br />

Error<br />

Statistic Statistic<br />

F10 25 21 15 36 496 19.84 .844 4.220 17.807<br />

F1 25 13 12 25 493 19.72 .704 3.518 12.377<br />

F4 25 10 14 24 474 18.96 .474 2.371 5.623<br />

F11 25 16 10 26 392 15.68 .741 3.705 13.727<br />

F6 25 10 10 20 381 15.24 .592 2.962 8.773<br />

F3 25 15 6 21 380 15.20 .603 3.014 9.083<br />

F5 25 14 7 21 370 14.80 .645 3.227 10.417<br />

F9 25 11 9 20 369 14.76 .659 3.295 10.857<br />

F8 25 13 8 21 367 14.68 .632 3.159 9.977<br />

F2 25 10 10 20 363 14.52 .554 2.771 7.677<br />

F12 25 12 7 19 347 13.88 .698 3.492 12.193<br />

F7 25 12 5 17 318 12.72 .552 2.762 7.627<br />

Valid N<br />

(listwise)<br />

25<br />

Conclusion<br />

Experts identified in field financial in the three parts; 3 major variables contain: customer<br />

satisfaction, employees’ satisfaction, firm internal process extracted <strong>of</strong> through 12 non-financial<br />

performances in an international conference in Malaysia. <strong>The</strong> above research illustrated the<br />

significance <strong>of</strong> the <strong>Delphi</strong> method which can apply in management, accounting and financial areas.<br />

In the present research we requested experts to identify major and vital non-financial factors that<br />

have higher influence on the investors’ decision making and judgment. According to the List <strong>of</strong><br />

Functions as relevant, effect in investor decision, reliability, effect in the sale, effect in the cost, we<br />

can extract the Variables <strong>of</strong> non-financial. <strong>Financial</strong> and accounting researchers and managers <strong>of</strong><br />

companies can use the results <strong>of</strong> the above research. <strong>The</strong> <strong>Delphi</strong> technique can help managers to<br />

realize when are going to disclosure non-financial performance, and also help them to achieve their<br />

purposes <strong>of</strong> better communication. <strong>The</strong> point that we get from this research is that <strong>Delphi</strong> method is<br />

appropriate to select and extract <strong>of</strong> non-financial performance variables and all the researchers and<br />

manager can get use <strong>of</strong> it in order to better understand and apply this method.<br />

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