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South African Journal of Industrial Engineering

On-line version ISSN 2224-7890
Print version ISSN 1012-277X

S. Afr. J. Ind. Eng. vol.32 n.1 Pretoria May. 2021

http://dx.doi.org/10.7166/32-1-2397 

GENERAL ARTICLES

 

Developing a sustainable business excellence model and discussing key factors

 

 

P.H. Fan#, *; W.L. Chang

College of Management, National Taipei University of Technology, Taiwan, Republic of China. P.H. Fan: https://orcid.org/0000-0002-7693-2301; W.L. Chang: https://orcid.org/0000-0001-7985-3580

 

 


ABSTRACT

To achieve sustainable growth and maintain competitive advantages, many companies consider the sustainability of society and the environment, and adopt the business excellence (BE) framework of quality awards to promote total quality management (TQM) activities. This study used the Malcolm Baldrige National Quality Award's (MBNQA) business excellence evaluation standard as the main body, supplemented by the Dow Jones Sustainability Indexes (DJSI). It proposed scoring criteria for the sustainable business excellence model, and discussed the degree of cause and correlation between evaluation criteria. The key factors were explored to provide companies with a reference for the pursuit of sustainable business excellence.


OPSOMMING

Baie maatskappye oorweeg die volhoubaarheid van die samelewing en die omgewing om volhoubare groei te behaal en mededingendheid te behou. Sodoende aanvaar hulle die besigheidsuitnemendheid riglyn van gehalte toekennings om totale gehaltebestuur aktiwiteite te bevorder. Hierdie studie het die Malcolm Baldrige nasionale gehalte toekennings se kriteria vir besigheidsuitnemendheid gebruik. Hierdie kriteria is aangevul deur die Dow Jones volhoubaarheidsindekse. Tellingkriteria is aan die hand hiervan voorgestel en die graad van oorsaak en korrelasie tussen evalueringskriteria is bespreek. Die sleutelfaktore is ondersoek om maatskappye met 'n verwysing vir die nastrewing van volhoubare besigheidsuitnemendheid te verskaf.


 

 

1 INTRODUCTION

In the past two decades, as environmental climate change and social responsibility have received increased attention, business organisations have proposed responses in their operations that have produced good results. IBM, Alcoa, and Wal-Mart have all saved on high expenses through energy-saving and waste-reduction activities. Ford Motor Company is using new technology in the assembly line process to reduce CO2 emissions by 15%, volatile organic compounds (VOCs) by 10%, and operating time by 20% [1]. In addition to pursuing profit, Toyota Motor Corporation is also actively looking for opportunities to improve its social and environmental impacts, and has developed hybrid vehicles, which have increased its brand value by 47% [2]. These examples demonstrate the advantages of the sustainable development of enterprises and enable investors, shareholders, consumers, the general public, and other stakeholders to accept these enterprises. In the new economic generation of high technology, enterprises must achieve a balance between economic development and maintaining civilisation and natural harmony to have the possibility of sustainable survival [3]. The market value of an enterprise is no longer measured solely by the economic dimension, but rather is evaluated by the performance of the triple bottom line (TBL), which is based on integrating economic, environmental, and social dimensions [4]. Each measurement factor changes with the other and with time, and each requires continuous monitoring [5].

Socially responsible investment (SRI) generates financial and social benefits by integrating social justice, environmental sustainability, and financial performance in the investment process. According to the statistics of the Asian Sustainable Investment Association in 2014, SRI Funds in Asia have climbed year by year, there are 500 tranches with an asset size of USD 44.9 billion to invest, and integrates environmental, social, and governance issues, and experienced a growth of 22% in the past three years(2011~2013). Among those funds, funds related to sustainable issues have grown the fastest. Financial performance is no longer the only consideration for investors; corporate governance, corporate responsibility, and issues of social concern have become considerations for investment decisions. SRI market statistics show that social responsibility involves consideration of a wide range of issues and of the entire range of funds.

There are numerous management theories on organisational and business management issues. Total quality management (TQM) and business excellence (BE) are the most popular approaches for companies to improve performance and achieve outstanding high-quality performance [6-7]. In the 1980s, the United States systematically conceptualised TQM as a standard structure for BE to provide businesses with tools to implement self-assessment and continuous improvement. The implementation of superior quality management is conducive to the practice of socially responsible actions (both environmental and social), and it is necessary for companies to incorporate social and environmental issues into their organisational strategies and operations when establishing a corporate social responsibility culture [8-9]. Therefore, with the current fermentation in sustainability issues, corporate organisations should promote corporate social responsibility goals and practices in a timely manner and integrate them into their business management systems, so that the organisational culture can be naturally generated [10-12], thus promoting not only the development of socially responsible activities [11], but also environmental management [13].

Therefore this study integrated corporate sustainability into the business excellence model so that companies can enjoy sustainable development while gaining operating profit. Specifically, the research objectives of this study included the following:

(1) To consolidate internationally well-known social responsibility investment indicators and business excellence model frameworks through a literature review, and to identify evaluation measurement indicators with suitability and consistency according to experts and scholars from industry, academia, and research, and then construct a system architecture that reflects sustainable business excellence operation.

(2) To discuss the key factors by constructing a sustainable business excellence model, so that business organisations can accurately grasp the direction of sustainable operation.

 

2 SUSTAINABLE ENTERPRISE DEVELOPMENT

The United Nations' World Commission on Environment and Development put forward the following definition of sustainable development in its 1987 report entitled "Our common future: A development model that can meet our current needs without compromising future generations to meet their needs". However, the process of sustainably developing an enterprise is also based on basic waste disposal, pollution control, and recycling, which then evolves into the triple bottom line of corporate social responsibility and economic, social, and environmental integration [14], as seen in Figure 1. The World Business Council for Sustainable Development (WBCSD) also explained that the sustainable development responsibilities of enterprises cover the three responsibilities of finance, environmental protection, and society (Figure 2). A sustainable enterprise must rely on economic, social, and environmental benefits to promote sustainable development [15]. When sustainable enterprises work to meet the needs of their direct or indirect stakeholders, they will not jeopardise their ability to meet the needs of future stakeholders [16]. Therefore, if companies want to achieve sustainable development goals, they must take environmental and economic costs into consideration at the same time. Although it is easier to achieve short-term economic goals, in the long run, the 't' goal of the triple bottom line can only be achieved when social, environmental, and economic sustainability are all successful.

 

 

3 SOCIALLY RESPONSIBLE INVESTMENT AND RATING INDICATORS

The concept of SRI can be traced back to the 17th century, when the Christian Church refused to invest in arms and slavery and chose to invest in enterprises that practised ethics and social equity and implemented environmental protection. In the early 21st century, the development of SRI proved that the value of the capital market had undergone tremendous changes, and that people had begun to pay attention to corporate TBL and the creation of long-term value. In 2005, the United Nations invited large global institutional investors to participate in formulating and adopting the principle of responsible investment, which integrated the sustainability issues of environmental and social corporate governance (ESG) into investment strategies as a norm for SRI. Investors are attracted by the sustainability performance of a company because it has grasped the business opportunities from the economic, environmental, and social development stages, and can show investors that it can create long-term value. In the foreseeable future, the pursuit of sustainable development will become the main boost for SRI performance [17]. The Dow Jones sustainability indexes (DJSI) series is the best-known index in global SRI development. Specific indicators are based on the three major dimensions of economy, environment, and society, and the content and weights are adjusted according to different industries (Table 1). This study used this sustainability evaluation index as its research benchmark.

 

 

4 BUSINESS EXCELLENCE MODEL

In an environment of increasingly fierce global competition, all industries are actively promoting various improvement plans. Since the 1990s, companies have mostly adopted the BE framework of quality awards as the operational framework for organisations to promote TQM activities [6-7][18]. Many scholars also believe that these business excellence models are the operational framework for TQM activities [18-21]. The Malcolm Baldrige National Quality Award (MBnQa) BE framework (Figure 3) is recognised worldwide as a model for business innovation. According to statistics from the United States Department of Commerce, more than 60 countries around the world use MBNQA as a standard for judging outstanding performance in order to improve the competitiveness of a country's enterprises [22]. The European Excellence Model was influenced by MBNQA. It was created by the European Foundation for Quality Management in the early 1990s, and then updated in response to feedback from foundation members, companies, and users. This excellence model is divided into nine major items, emphasising the need for continuous innovation and learning. In 1995, the Socio-Economic Productivity Center of the Japanese Foundation also used MBNQA as a blueprint to build Japan's standards of business excellence model based on a customer focus, special capabilities, high -quality employees, and the development of a harmonious social relationship. The current study integrated the content of these three types of business excellence model as benchmarks for the research indicators.

 

 

5 DEVELOPING A SUSTAINABLE BUSINESS EXCELLENCE ARCHITECTURE AND INDICATORS

Based on the above-mentioned US, European, and Japanese BE frameworks and DJSI, a total of 61 indicators (Table 2) were initially planned for the subsequent research. Through the correlation and difference analysis of various excellence models, it was found that MBNQA is used most often [6-7][18], and that it has been integrated into the sustainable development concept to a considerable extent, to include the economic, environmental, and social dimensions. However, there are still shortcomings. This study has integrated them into the initial framework, adding 10 indicators (those that are marked with '*').

 

6 RESEARCH DESIGN

The main purpose of this research was to construct a set of investment index frameworks that combined sustainable development and business excellence, and to discover the key success factors. Therefore the questionnaire survey was divided into two stages. The first stage used the fuzzy Delphi expert questionnaire to establish the design model; the second stage used the decision-making trial and evaluation laboratory (DEMATEL) to explore the key index.

6.1 Fuzzy Delphi method

This study adopted the modified fuzzy Delphi method (FDM) [27] as its basis, and used the double triangle fuzzy number to obtain expert consensus on the importance value G. The gray zone test was used to test whether the experts' cognition showed a consistent conv ergence. The implementation steps were as follows:

Step 1: Give a possible interval value for each fuzzy expert questionnaire measurement item. The minimum of this interval value indicates the most conservative cognitive value of the measurement item, and the maximum indicates the most optimistic cognitive value.

Step 2: Collect the most conservative cognitive value and the most optimistic cognitive value given by the interviewee for each measurement item; exclude extreme values that fall outside the double standard deviation; and then calculate the minimumCiL, geometric mean CiM , and maximum CiU in the most conservative cognitive values that remain, as well as the minimumOiL, geometric meanOiM, and maximum OiU in the most optimistic cognitive values that remain.

Step 3: Establish the triangular fuzzy numberCi=(CiL, CiM, CiU) of the most conservative cognition and the triangular fuzzy number Oi = (OiL, OiM, OiU) of the most optimistic cognition in each measurement item i respectively (Figure 4).

 

 

Step 4: Check whether the opinions of the experts have reached consensus by the following methods:

If there is no overlap between the two triangular fuzzy numbers (CiU<OiL), it means that each expert's opinion interval value has a consensus section, and the opinion tends to be within the scope of this consensus section.

Therefore, let the consensus importance value Gi of measurement item i be equal to the arithmetic mean of CiM and OiM (see Eq. 1 for the calculation equation):

If the fuzzy numbers of the two triangles overlap - that is, (CiU >OiL), and the grey area Z1=C1U-OiL of the fuzzy relationship is smaller than the interval Mi = OiM - CiM between the geometric average of the optimistic cognition and the geometric average of the conservative cognition by the experts on this measurement item - it means that, although there is no consensus between the opinions of each expert, the two experts with extreme opinions (the minimum for optimistic cognition and the maximum for conservative cognition) do not differ greatly from the opinions of other experts, leading to divergent opinions. Therefore, let the consensus importance value Gi of measurement item i be equal to the fuzzy set obtained by performing the intersection (min) operation on the fuzzy relationship of the two triangular fuzzy numbers, and then find the quantitative score of the fuzzy set with the maximum membership value (see Eq. 2 for the calculation equation):

If the fuzzy numbers of the two triangles overlap - that is, (CiU > OiL), and the grey area Zi = CiU-OiL of the fuzzy relationship is larger than the interval betweenMi = OiM-CiM of the optimistic geometric mean value and the conservative geometric mean value from the experts on this measurement item - it means that there is no consensus between the opinions of the experts, and the two experts with extreme opinions (the minimum for optimistic cognition and the maximum for conservative cognition) vary greatly from the opinions of other experts, and thus opinion divergence will occur. Therefore the conservative cognitive minimum CiL, geometric average CiM , maximum OiL, optimistic cognitive minimumOiL, geometric averageOiM , and maximum OiU these measurement items that have not converged will be provided to the experts for reference. Steps 1 to 4

are then repeated for the next questionnaire survey until all measurement items have reached convergence and the consensus importance value Gi is obtained.

6.2 Decision-making trial and evaluation laboratory

DEMATEL can explore the interdependence of various criteria to solve complex causal relationships, improve the understanding of special problems, and identify a feasible solution through a hierarchical structure. In recent years it has been widely used to solve various types of complex and entangled problems [28]. The DEMATEL method first determines the indicators according to decision factors, and forms a questionnaire for decision-makers to fill in, and then integrates the content of the questionnaire from each decision-maker, establishes a direct relationship matrix of the index factors, and forms a direct and indirect relationship matrix of the index after matrix calculation. Next it calculates the total correlation degree and cause degree and, finally, draws an influential network relation map (INRM).

6.3 Questionnaire design

6.3.1 Fuzzy Delphi expert questionnaire

A fuzzy interval value of 0 to 10 points was given in the evaluation method of each criterion question. The minimum of this interval value indicated the most conservative cognitive value, and the maximum indicated the most optimistic cognitive value. A higher score indicated that the measurement item was more important. An open suggestion bar was designed to provide opinions on various indicators to supplement the insufficient content of the questionnaire (Table 3).

 

 

6.3.2 DEMATEL questionnaire

The DEMATEL questionnaire was used to evaluate the impact of the criteria of each dimension and evaluate the interdependence of each pair (Table 4).

 

 

6.4 Questionnaire respondents

Because companies mainly pursue financial performance, the combination with sustainable development has not been widely discussed. Therefore the respondents needed to have professional knowledge and practical experience to provide in-depth and accurate opinions. A total of seven experts were invited to answer the questionnaire in this study: three from industry, two from academia, and two from research institutions (Table 5).

 

7 RESULTS AND ANALYSES

7.1 Sustainable business excellence model architecture

In order to ensure the effectiveness of the model, two fuzzy Delphi expert questionnaires were conducted, with a recovery rate of 100%. In the first round of recovered questionnaires, the quality of products/services did not converge, but the rest all showed convergence; therefore 13 items were proposed as additional items for the criteria (Table 6). The statistical results of the second round of questionnaires showed that all items reached convergence. Among them, five indicators were suggested to be deleted by two or more experts, and 69 effective measures were finally selected (Figure 5).

7.2 Discussion on key factors of sustainable business excellence

7.2.1 Correlation and causality between dimensions

The values of the degree of correlation and the degree of cause were calculated according to the questionnaire (Table 7). In the degree of correlation, the sum of the impact and the range affecting the dimension of the achievements (17.2290) was the largest, indicating that the role of the impact range of this dimension was greater than that of the other six dimensions, mainly because an organisation's achievements and performance need to integrate all dimensions to produce a complete result. In addition, regarding cause, the value of leadership and governance (1.0954) was the largest and greater than 0, indicating that it was a cause factor, as a company's decision-making and operation depend on the leaders' decision and governance. The result value (-0.7288) was the smallest and less than 0, indicating that it was affected more by other dimensions, and was therefore a result factor.

 

 

This study next created a cause-and-effect diagram (Figure 6). In the diagram, the four major dimensions of achievements, leadership and governance, customer focus, and operational management were located to the right of the cause and effect diagram, and had a greater number of correlations than the average of 16.404, indicating that the scope of influence of these four dimensions was large. The calculation results of the cause degree showed that the values for leadership and governance, strategic planning, and employee focus were all greater than 0, indicating that, when promoting sustainable business excellence management, special attention should be given to the development of these three dimensions.

 

 

7.2.2 Second-order factor layer correlation and causality

According to the relationship table of the second-order factor influence degree (Table 8), the first three items for cause degree were high-level leadership (0.734), working environment (0.609), and governance and social responsibility (0.426). Among them, high-level leadership was relatively larger than the other items, indicating that it was one of the important influencing factors of the other items. The top three items for the correlation degree were high-level leadership (18.881), financial and market performance evaluation results (18.391), and customer voice (18.288), indicating that these three items were highly involved with the other items. Among them, high-level leaders ranked first in terms of influence and correlation, indicating that its importance was very high in this sustainable business excellence model.

 

8 CONCLUSION

In the face of today's increasingly competitive environment, environmental change, and high international requirements to address green environmental issues, companies must also consider the sustainability of society and the environment while pursuing economic efficiency to enjoy long-term growth and create competitive advantages. By integrating the valuable opinions of experts and scholars from the same domain, this study developed a sustainable business excellence model that was suitable for corporate organisations. This framework consisted of the integration of seven major dimensions of business excellence with environmental and social dimensions to develop 69 detailed indicators.

Complex causal relationships among the seven dimensions were highlighted i n the discussion of the key factors. The numerical calculation results of the cause degree showed that the values of leadership and governance, strategic planning, and employee focus were all greater than 0, indicating that the development of these three dimensions should be given special attention when promoting sustainable business excellence. The value of leadership and governance was much greater than of the other dimensions, showing its importance and influence. It could be seen that leadership and governance is the most important key factor when companies promote sustainable business excellence models. The values of the correlations among the four dimensions of achievements, leadership and governance, customer focus, and operation management were greater than the threshold value set by the arithmetic mean of the degree of correlation, indicating that these four dimensions had a greater range of influence. The value of the achievement dimension was the largest, indicating that it was most related to the other dimensions and that the achievements of an organisation/enterprise are related to all the dimensions of an organisation. The values of the cause degree of the dimensions of customer focus, operation management, measurement, analysis and knowledge management, and achievements were all less than 0, indicating that they tended to be the affected factors. Among them, the value of the achievements dimension was much smaller than those of the other values, indicating that it was affected by the other six dimensions.

According to the relation table of the medium-term factors, the first three items of the cause value were high-level leadership, working environment, and governance and social responsibility. Among them, the value of high-level leadership was relatively larger than those of the other items, indicating that it was an important influence factor for the other items. When promoting sustainable business excellence, corporate organisations should focus on high-level leadership, create a clear organisational culture, and clarify the company's policies and vision. They should establish internal and external communication channels, and keep all the stakeholders on the same page. The second priority is the emphasis on the work environment. The most importan t assets and operational members of an organisation are its employees; thus creating a good working atmosphere and focusing on employee functions and capabilities are key. The third priority is governance and social responsibility. A company that takes social responsibility seriously and builds a transparent system will improve its management and social evaluation and further enhance its added value.

The first three items in the correlation value were high -level leadership, financial and market performance evaluation results, and customer voice, which indicated that these three items were highly related to the other items. Among them, high -level leadership ranked first in both the degree of influence and the degree of correlation, indicating that its import ance was quite high in this sustainable business excellence model, which was a key factor. The results of the financial and market performance evaluation were the results of the overall operation of the organisation; therefore the degree of correlation was high. It also showed that all operations in an organisation are ultimately related to financial and market performance. The basic focus in TQM is having a customer orientation. The market is driven by the voice of the customer; and the importance of the voice of the customer is also shown in the degree of correlation.

This research was a preliminary study, and the overall structure was mainly evaluated by experts in industry, government, learning, and research. It is recommended that subsequent researcher s import the evaluation structure proposed in this study into different industries, and conduct enterprise empirical research to prove that this research outcome can be applied broadly.

 

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Submitted by authors 6 Aug 2020
Accepted for publication 29 Mar 2021
Available online 28 May 2021

 

 

# The author was enrolled for an PhD degree in the College of Management, National Taipei University of Technology, Taiwan, Republic of China
* Corresponding author: garyfan1688@gmail.com

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