Search results

The purpose of this paper is to investigate systematically the topic of operations capabilities within the operations strategy area. The output is a framework that will benefit researchers and firms to gain a more complete understanding of critical operations capabilities.

The research methodology is a systematic literature review. The aim of this study is to provide a snapshot of the diversity of studies being conducted in the field of operations capabilities, within the operations strategy area. In total, 157 papers were taken into consideration. Various operations capabilities were identified and synthesized in a conceptual framework.

The output of this paper is a conceptual framework of critical operations capabilities. Different operations capabilities and dimensions were identified in the literature. In total, seven dimensions were identified and included in the framework: cost, quality, delivery, flexibility, service, innovation, and environment.

This research was conducted through a systematic literature review. The framework presented in this paper provides a summary of critical operations capabilities, and in addition theoretical support for managers and firms wishing to formulate an operations strategy.

In general, this research sets the basis for managers and practitioners concerning the formulation of successful operations strategies. In the long term, a deeper understanding and shared knowledge about competitive priorities and operations capabilities can positively influence the success of firms.

This paper extends the theory by providing researchers and managers with updated knowledge on operations capabilities.

As in line with eco benchmarking, the purpose of this paper is to solve a location selection problem in an emerging country by applying sustainability benchmarking principles.

A hybrid multi-criteria decision-making method, fuzzy AHP and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), is used as methodology to make sustainability benchmarking for logistics center location selection.

It is revealed that according to AHP and PROMETHEE calculations, Kemalpasa is determined as the most appropriate location from the sustainable perspectives. Torbali is specified as the worst location to construct a logistics center in terms of benchmarking criteria based on sustainability concerns. Based on these numerical results, managerial implications are presented with a sustainability benchmarking view.

The main originality of this study is integrating one of the relatively new topics, sustainability benchmarking, with a popular area, logistics center location selection.

We outline the standards for “good” performance measures and propose the Data Envelopment Analysis (DEA) as a method for performance measurement on individual level.

Using the example of a German cooperative bank with a cohort of 40 employees, we apply a multi-stage DEA approach to measure employee performance and report on the results. Based on those results a DEA-based approach for a strategic performance appraisal process is introduced.

We illustrate that DEA provides clear feedback information on an individual level, which enables management to accurately identify fields of specific improvement.

The proposed approach for a strategic performance appraisal process is yet of theoretical nature. Consequently, the practical implementation of this approach is a purpose of further research.

The purpose of this paper is to develop an innovative method of performance appraisal that will be useful for designing a structured training programme.

Employees' performance appraisals are conducted using new approaches, namely data envelopment analysis and an integrated fuzzy model. Interpretive structural modelling is used to design a training programme for employees.

Performance appraisals using data envelopment analysis focus on output enhancement, while an integrated fuzzy model using quality function deployment (QFD) and multi‐attribute decision‐making focuses on input enhancement. For overall and continuous improvement of employees' knowledge, skills and attributes, this composite model provides an in‐depth analysis and also offers a means for designing a structured and effective training programme through interpretive structural modelling.

In data envelopment analysis, the number of employees for performance appraisal should be equal to or greater than three times the selected number of input and output factors. In the integrated fuzzy model, the number of main factors should not exceed seven for pairwise comparison. The size of the QFD matrix should not be more than 30.

The factors selected for appraisal and the method of appraisal should be known by the employees concerned. Consensus among all those concerned is necessary for effective application and utilization of the model.

This model provides a means to increase the knowledge, skills and attributes of employees by adopting a structured approach to designing a training programme for employees of various categories. The approaches used are well‐established and can be applied in many other fields.

In this paper, approaches used for appraisals and designing training programmes are new to this field of study, although they have been successfully proven in many other fields. The results obtained using these methods are useful for helping management to make decisions on training needs, bonuses, incentives and promotions. For the employees, a structured training programme design improves their KSA, quality and standards.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

Despite their significant economic impact, small and medium-sized enterprises (SMEs) remain underrepresented in public procurement. While previous research has identified the barriers facing SMEs in public procurement markets, a knowledge gap still exists on how these barriers influence one another in a specific context.

This study developed a hierarchical structural model that reveals the contextual interrelationships between 14 notable barriers to SME involvement in public procurement, based on evidence from the publicly funded healthcare sector in the UK. The data were analyzed using interpretive structural modeling (ISM) and matrix impact of cross-multiplication applied to categorization (MICMAC).

The results systematically classify barriers based on their hierarchical relationships, offering a robust theoretical foundation for understanding their nature and interconnections.

The findings can help scholars, government administrators and politicians in government-funded healthcare systems determine the most influential barriers to SME involvement and their causes, enabling them to build viable remedies.

This is the first empirical study to examine the relationship between the barriers to SMEs' public health procurement, using evidence from the public health procurement context.

At the one‐stop carpal tunnel syndrome clinic, patients undergo neurophysiological studies followed by clinical assessment by the orthopaedic consultant on the same day. Patients with paraesthesia or numbness in the median nerve distribution for greater than three months duration without a history of a previous soft tissue neck injury were selected for assessment in the one‐stop carpal tunnel syndrome clinic based on a proforma completed by their general practitioners. Data of patients attending the one‐stop carpal tunnel syndrome clinic over a ten‐month period were compared with that over the same period from a conventional hand clinic. A total of 77 patients attended the one‐stop carpal tunnel syndrome clinic over a ten‐month period. The mean time from referral to surgery was 23 weeks in this group compared to 44 weeks for a conventional clinic. On average, the one‐stop carpal tunnel syndrome clinic reduced the time from referral to surgery by 21 weeks. The one‐stop carpal tunnel syndrome clinic is convenient and cost effective for patients and hospitals.

This paper is a research note on “Quality framework in education through application of Interpretive Structural Modeling” (Sahney, S., Banwet, D.K. and Karunes, S. (2010), Quality framework in education through the application of Interpretive Structural Modeling: an administrative staff perspective in the Indian context, The TQM Journal, 22(1)). Sahney et al. applied Interpretive Structural Modeling (ISM) to prioritize, sequence and categorize elements critical to quality management in education; however, it seems that the final reachability matrix, and consequently the results, may not be true as some transitivity was not incorporated. So, the purpose of this paper is to apply a method to develop a transitive and compatible reachability matrix.

A counter-example was used to show that the final reachability matrix was incorrect, and then, based on Warfield’s studies, a transitive and compatible reachability matrix was developed directly.

As high priority should be placed on tackling the design characteristics which have a high driving power and thus possessing the capability to influence other elements, the correct analysis of ISM and its consequences is important to the priorities. The results from this study differed from the results of the Sahney et al. to a large extent. According to their analysis, all attributes were in the linkage area which has high driving power and high dependence. However, the authors reached different values for the relative importance and the interdependencies among the elements resulting in three different clusters.

This note clarifies and corrects the way the ISM methodology can be applied.

The purpose of this paper is to identify and develop the structural relationship among the key drivers to control and enhance the supply management (SM) performance in Indian manufacturing environment.

The drivers (i.e. sourcing alternatives and supplier selection, supplier development (SD), contract management (CM) and risk management (RM)) of SM were identified and SM integration model was proposed through literature review and in consultation with industry experts. The proposed model was validated by capturing experts’ view in Indian manufacturing environment. The strength of relationships between these drivers and on SM performance was also established using structural equation modeling.

CM has positive direct effect on SM performance and two drivers (i.e. sourcing alternatives and supplier selection, and SD) have positive indirect effect mediated by CM. Whereas, RM has direct and indirect (mediated by CM) positive effect on SM performance in Indian manufacturing environment.

This model can be validated for manufacturing industries in other countries.

This model provides a comprehensive relationship among four drivers of SM and shows the direction for designing and implementing appropriate policies in order to enhance the SM performance in Indian manufacturing environment.

Although many issues related to SM have been widely researched, but no literature has been reported related to SM integration model consisting of its drivers in general and in Indian manufacturing environment in specific. The key drivers of SM were identified and their relative importance was analyzed in Indian manufacturing environment.