scholarly journals Developing retailer selection factors for collaborative planning, forecasting and replenishment

2015 ◽  
Vol 115 (7) ◽  
pp. 1292-1324 ◽  
Author(s):  
Farhad Panaihfar ◽  
Cathal Heavey ◽  
PJ Byrne
Keyword(s):  
Decision Making ◽  
Customer Service ◽  
Collaborative Planning ◽  
Strategic Decision ◽  
High Tech ◽  
Fuzzy Decision Making ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Five Dimensions ◽  
Selection Factors

Purpose – Selecting an appropriate partner is a vital and strategic decision-making process in any supply chain collaboration initiative. The purpose of this paper is to introduce and explore the key factors considered by manufacturers in the selection of an appropriate retailer(s) for collaboration and collaborative planning, forecasting and replenishment (CPFR) implementation and the relationships between these factors. Design/methodology/approach – A comprehensive literature review and experts’ views are applied to identify the main retailer selection and evaluation factors for CPFR implementation. A fuzzy decision-making trial and evaluation laboratory approach is then used to rank and analysis the interaction among identified factors. The findings are finally evaluated using a case study from a high-tech industry. Findings – The most important partner selection factors comprising of five dimensions and 24 factors are introduced. Of the identified criteria, three factors: manufacturer’s familiarity with the retailer, workforce skills and training and customer service orientation and capability have been identified as critical when selecting retailers for CPFR implementation. The technological capabilities dimensions are identified as the only net cause dimension which affects all other dimensions and its importance and role in simplifying and enhancing the speed and flexibility of CPFR implementation. Practical implications – The paper identifies practical retailer selection factors for CPFR implementation and the causal relationships between factors. Developed retailer selection dimensions and criteria will assist manufacturers and retailers in understanding the role these factors play in CPFR implementation. This will also assist in appropriate retailer(s) selection by manufacturers. Originality/value – This paper contributes to the literature on CPFR and tackles the important issue of selecting appropriate partners by developing retailer selection dimensions and criteria in CPFR implementation.

Challenges in the implementation of circular economy in manufacturing industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhukar Chhimwal ◽  
Saurabh Agrawal ◽  
Girish Kumar
Keyword(s):  
Decision Making ◽  
Circular Economy ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Strategic Decision ◽  
Fuzzy Decision Making ◽  
Content Type ◽  
Pareto Analysis ◽  
Comprehensive Survey ◽  
Novel Concept

Purpose The circular economy concepts are useful for resource conservation, eliminating waste and enhancing the efficiency of production to improve the sustainability of the system. The application of CE in Indian manufacturing industry is in nascent stage. India’s manufacturing sector significantly contributes to the economic development of the nation; therefore, this study aims to identify and analyze the sustainability related challenges faced during the implementation of the circularity concept. Design/methodology/approach Comprehensive survey of literature and the use of Pareto analysis yield ten significant challenges which are further analyzed using fuzzy-Decision-Making Trial and Evaluation Laboratory approach. Findings Findings revealed that noncompliance of environmental laws, revenue generation, design issues owing to technological limitations and less preference to refurbished and reused product are some of the major challenges to the CE practices in the manufacturing industry. Research limitations/implications The results will help the researchers and practitioners in strategic decision-making for the improved application of circularity in the production process. Originality/value This paper contributes to the identification and prioritization of sustainability-related challenges faced during the implementation of a novel concept by a developing economy.

Understanding how the contextual variables influence political behaviour in strategic decision-making

2014 ◽  
Vol 7 (3) ◽  
pp. 226-250 ◽  
Author(s):  
Said Elbanna ◽  
Ioannis C. Thanos ◽  
Vassilis M. Papadakis
Keyword(s):  
Decision Making ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Strategic Decisions ◽  
Empirical Examination ◽  
Content Type ◽  
Political Behaviour ◽  
Practitioner Education ◽  
The Impact ◽  
Practical Implications

Purpose – The purpose of this paper is to enhance the knowledge of the antecedents of political behaviour. Whereas political behaviour in strategic decision-making (SDM) has received sustained interest in the literature, empirical examination of its antecedents has been meagre. Design/methodology/approach – The authors conducted a constructive replication to examine the impact of three layers of context, namely, decision, firm and environment, on political behaviour. In Study 1, Greece, we gathered data on 143 strategic decisions, while in Study 2, Egypt, we collected data on 169 strategic decisions. Findings – The evidence suggests that both decision-specific and firm factors act as antecedents to political behaviour, while environmental factors do not. Practical implications – The findings support enhanced practitioner education regarding political behaviour and provide practitioners with a place from which to start by identifying the factors which might influence the occurrence of political behaviour in SDM. Originality/value – The paper fills important gaps in the existing research on the influence of context on political behaviour and delineates interesting areas for further research.

The internationalization strategies of rapidly internationalizing high-tech UK SMEs

2014 ◽  
Vol 26 (5) ◽  
pp. 421-448 ◽  
Author(s):  
Dave Crick ◽  
James Crick
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Potential Effect ◽  
Small Sample ◽  
High Tech ◽  
Niche Markets ◽  
Content Type ◽  
Parental Decision Making ◽  
Internationalization Strategies ◽  
Medium Enterprises

Purpose – The purpose of this paper is to investigate aspects of causation and effectuation decision-making in respect of the planned and unplanned nature of the internationalization strategies of a small sample of rapidly internationalizing, high-tech UK small and medium enterprises (SMEs). These exhibit four different rates of scale of international intensity (percentage of overseas sales to total sales) and market scope (geographical coverage and commitment). Design/methodology/approach – Interviews with managers of 16 independently owned high-technology-oriented manufacturing SMEs were undertaken in this investigation to reduce the potential effect of bias from parental decision-making and firm size, also trade sectoral conditions. These were drawn from an existing database. Findings – Aspects of both causation and effectuation logic were evident in planned and unplanned aspects of decision-making. Moreover, industry factors were seen to affect internationalization strategies in various ways and not least in respect of the need to exploit windows of opportunity in international niche markets and the usefulness of utilizing managers’ experience and networks in the sector in which firms operated. Originality/value – The contribution of this study is to build on earlier work where authors have used different terminology to describe firms that have internationalized soon after their foundation. Specifically, with respect to the planned versus unplanned nature of respective internationalization strategies and the causation as opposed to effectuation logic in decision-making.

Grey assessment and prediction of the financial agglomeration degree in central five cities

2014 ◽  
Vol 4 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Li Li ◽  
Guo-hui Hu
Keyword(s):  
Decision Making ◽  
Scientific Development ◽  
Fuzzy Decision Making ◽  
Grey Prediction ◽  
Fuzzy Decision ◽  
Content Type ◽  
Multiple Dimension ◽  
The Government ◽  
Development Tendency ◽  
Decision Making Model

Purpose – At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities. Design/methodology/approach – According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model. Findings – The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities. Practical implications – From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making. Originality/value – The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.

Selection of lean manufacturing systems using the PROMETHEE

2008 ◽  
Vol 3 (1) ◽  
pp. 40-70 ◽  
Author(s):  
G. Anand ◽  
Rambabu Kodali
Keyword(s):  
Decision Making ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Strategic Decision ◽  
Computer Integrated Manufacturing ◽  
Preference Ranking ◽  
Manufacturing Strategy ◽  
Manufacturing Companies ◽  
Content Type

PurposeIn recent years, many manufacturing companies are attempting to implement lean manufacturing systems (LMS) as an effective manufacturing strategy to survive in a highly competitive market. Such a process of selecting a suitable manufacturing system is highly complex and strategic in nature. The paper aims to how companies make a strategic decision of selecting LMS as part of their manufacturing strategy, and on what basis such strategic decisions are made by the managers.Design/methodology/approachA case study of a small‐ and medium‐sized enterprise is presented, in which the managers are contemplating on implementing either computer integrated manufacturing systems (CIMS) or LMS. To supplement the decision‐making process, a multi‐criteria decision making (MCDM) model, namely, the preference ranking organisation method for enrichment evaluations (PROMETHEE) is used to analyse how it will impact the stakeholders of the organisation, and the benefits gained.FindingsAn extensive analysis of PROMETHEE model revealed that LMS was the best for the given circumstances of the case.Research limitations/implicationsThe same problem can be extended by incorporating the constraints (such as financial, technical, social) of the organisation by utilising an extended version of PROMETHEE called the PROMETHEE V. Since, a single case study approach has been utilised, the findings cannot be generalized for any other industry.Practical limitations/implicationsThe methodology of PROMETHEE and its algorithm has been demonstrated in a detailed way and it is believed that it will be useful for managers to apply such MCDM tools to supplement their decision‐making efforts.Originality/valueAccording to the authors’ knowledge there is no paper in the literature, which discusses the application of PROMETHEE in making a strategic decision of implementing LMS as a part of an organisation's manufacturing strategy.

scholarly journals Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Strategic Decision ◽  
Extensive Literature ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Selection For ◽  
Decision Making Model

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

scholarly journals Women on corporate boards and allocation of capital raised through IPOs

2019 ◽  
Vol 57 (3) ◽  
pp. 547-568 ◽  
Author(s):  
Bazeet Olayemi Badru ◽  
Nurwati A. Ahmad-Zaluki ◽  
Wan Nordin Wan-Hussin
Keyword(s):  
Decision Making ◽  
Governance Structure ◽  
Capital Allocation ◽  
Strategic Decision ◽  
Corporate Boards ◽  
Content Type ◽  
Investment Opportunities ◽  
Women On Corporate Boards ◽  
The Impact ◽  
A Company

Purpose The purpose of this paper is to examine whether the differences in men and women, such as risk aversion in decision making, can influence the amount of capital that the board of directors can allocate for investment opportunities. Design/methodology/approach This study sampled 212 IPOs over the period of 2005–2015 and employed the OLS and the quantile regression techniques to examine the impact of female directors on capital allocation. Findings The results show that women on corporate boards have a positive influence on the amount of capital an IPO company can allocate for investment opportunities. These findings suggest that the investment strategies of women in an emerging financial market, like Malaysia, may differ from women in other financial markets. Practical implications The presence of women on corporate boards plays an important role in board involvement in a company’s strategic decision at the time of the IPO. Therefore, regulators and IPO issuers should pay close attention to the corporate governance structure of a company at the time of an IPO. In addition, investors and other stakeholders of a company may consider women on corporate boards as an important factor in financing and investment decisions. Originality/value Despite several studies that have examined the influence of women on corporate boards on corporate outcomes, globally, the presence of women on corporate boards and their influence on corporate decision-making related to allocation of capital to investment opportunities, have not been fully explored in the IPO literature.

Selection of resilient suppliers in manufacturing industries post-COVID-19: implications for economic and social sustainability in emerging economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhijit Majumdar ◽  
Jeevaraj S ◽  
Mathiyazhagan Kaliyan ◽  
Rohit Agrawal
Keyword(s):  
Decision Making ◽  
Incomplete Information ◽  
Emerging Economies ◽  
Supplier Selection ◽  
Fuzzy Decision Making ◽  
Ideal Solution ◽  
Fuzzy Decision ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Selection Of

PurposeSelection of resilient suppliers has attracted the attention of researchers in the past one decade. The devastating effect of COVID-19 in emerging economies has provided great impetus to the selection of resilient suppliers. Under volatile and uncertain business scenarios, supplier selection is often done under imprecise and incomplete information, making the traditional decision-making methods ineffective. The purpose of this paper is to demonstrate the application of a fuzzy decision-making method for resilient supplier selection.Design/methodology/approachA group of three decision makers was considered for evaluating various alternatives (suppliers) based on their performance under different primary, sustainability and resilience criteria. Experts' opinion about each criterion and alternative was captured in linguistic terms and was modelled using fuzzy numbers. Then, an algorithm for solving resilient supplier selection problem based on the trapezoidal intuitionistic fuzzy technique for order preference by similarity to ideal solution (TrIFTOPSIS) was introduced and demonstrated through a case study.FindingsA closeness coefficient was used to rank the suppliers based on their distances from intuitionistic fuzzy positive-ideal solution and intuitionistic fuzzy negative-ideal solution. Finally, the proposed fuzzy decision making model was applied to a real problem of supplier selection in the clothing industry.Originality/valueThe presented TrIFTOPSIS model provides an effective route to prioritise and select resilient suppliers under imprecise and incomplete information. This is the first application of intuitionistic fuzzy multi-criteria decision-making for resilient supplier selection.

Towards a BIM-based approach for improving maintenance performance in IBS building projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zul-Atfi Bin Ismail
Keyword(s):  
Decision Making ◽  
Good Practice ◽  
Maintenance Management ◽  
Strategic Decision ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Conventional Methods

PurposeThe contemporary practice of conventional maintenance for industrialised building system (IBS) constructions suffers from poor service delivery and defect repetition. A key problem impeding the widespread adoption of emerging technologies is the lack of competent contractors to support the effectiveness of the technology implemented in conventional methods and to ensure returns on investment. The shortcomings of conventional methods are assessed from the perspective of IBS buildings. This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes.Design/methodology/approachThis paper describes the establishment of key problem areas, the elements involved in implementing good practice and the requirements for integrating maintenance management processes and information databases in the maintenance management system.FindingsConventional methods have little emphasis on defect diagnosis tools. They also enhance inadequate strategic decision-making in the analysis of information when attempting to improve the maintenance project outcomes for IBS construction. The characteristics identified in a case study of IBS buildings are presented and analysed.Originality/valueThe conclusions and recommendations drawn from the analysis of the IBS case study are discussed, synthesised and deliberated upon. The approach presented in this paper integrates various aspects of building information modelling technology to facilitate improved execution of IBS maintenance activities.

Barriers to implementing digitalization in the Indian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avirag Bajpai ◽  
Subhas C. Misra
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Research Paper ◽  
Fuzzy Decision Making ◽  
Top Management ◽  
Research Approach ◽  
Extensive Literature ◽  
Total Quality ◽  
Fuzzy Dematel ◽  
Content Type

PurposeThis research paper aims to analyze the critical barriers to implementing digitalization in the Indian construction industry as Indian construction companies are lagging in the implementation of digital technologies in the work environment.Design/methodology/approachIn this research paper, a qualitative research approach is adopted, and multiple detailed interviews are conducted with industry and academic experts. Further, multi-criteria decision-making (MCDM) techniques are used to finalize the prioritization among various alternatives. The fuzzy-decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) and interpretive structural modeling (ISM) techniques are employed to find the exact relationship among the identified alternatives.FindingsThis study identifies 14 critical barriers from an extensive literature review and multiple interviews with industry professionals, and further driving and critical barriers are identified.Research limitations/implicationsIn this research paper, an exploratory study with a limited number of respondents from a large Indian construction company is carried out. Further, a detailed longitudinal analysis can be done to assess the subjectivity of the participants with more advanced statistical tools. However, this research discusses several points pertaining to the implementation of digitalization in the construction industry. The research further identifies the critical barriers to digitalization in the Indian construction industry.Practical implicationsThe finding of the study has two-pronged implications. First, it provides a road-map to the construction industry by highlighting the engagement of top management as the key focus area for successful digitalization. Second, the finding also shows similarity of the digitalization process to the adoption of process improvement techniques like lean and total quality management (TQM), wherein the top management plays a crucial role in ushering in the implementation of a disruptive change.Originality/valueThe research is unique in two ways. First, this is one of the very few attempts to understand digitalization in the Indian context. Second, the research also demonstrates that the combination of fuzzy DEMATEL and ISM techniques can be successfully employed in the emerging field of construction digitalization research.

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