Lean-green performance management in Indian SMEs: a novel perspective using the best-worst method approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaad Ahmad ◽  
Ahmad Abdullah ◽  
Faisal Talib
Keyword(s):  
Organizational Performance ◽  
Performance Management ◽  
Green Manufacturing ◽  
Extensive Literature ◽  
Order Model ◽  
Quality Performance ◽  
Main Category ◽  
Content Type ◽  
Green Practices ◽  
Best Worst Method

PurposeIn a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a pressure from various stakeholders to add to their environmental and quality performance .The solution obviously lies in continuously adopting and improving upon lean-green practices in their operations. This work aims at identifying, classifying and building up a duly tested robust ranked-order model of such “enablers”, related to lean-green practices, that puts them (the enablers) in an order of being the most significant to being the least significant further to be accorded the same or similar weight in strategy formulation and implementation stage by Indian SMEs for enhancing their overall organizational performance.Design/methodology/approachThe study identifies 20 enablers (12 lean and 08 green manufacturing enablers) through extensive literature review and experts' opinion survey and classifies them into three main categories. The ranking and significance of each of the main and subcategory enablers is evaluated according to its weight which is determined by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis.FindingsThe results of this study reveal that out of the three main category enablers, “operational performance enablers (E1)” and “quality performance enablers (E3)” are the most and the least significant enablers, while in the group of 20 subcategory enablers, “Kaizen (E17)” and “environment emission control (E28)” are the most and the least significant subcategory enablers, respectively.Practical implicationsThe prioritization model or ranked-order model of the lean-green manufacturing enablers proposed through this study may serve as a standard model to managers to help them decide and allocate their efforts and resources accordingly in managing their operations. This will also help them adopt high-ranking lean-green manufacturing enablers in their firms and benchmark and standardize their existing practices accordingly, leading to greater competitive advantage.Originality/valueThe study identifies various green-lean manufacturing enablers in SMEs, classifies them into three main categories and ranks them using BWM approach. The findings of this study should be extremely relevant to managers, manufacturing engineers and practitioners in Indian SMEs from the perspective of developing deeper appreciation of these enablers as per their relative ranked importance to further formulating an effective and efficient strategy for their implementation resulting in optimal results.

Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Management Practices ◽  
Human Factor ◽  
Research Work ◽  
Data Driven ◽  
Theory Approach ◽  
Quality Performance ◽  
Content Type

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

Contribution of green manufacturing for realizing business performance in Indian small and medium scale organizations (SME’s)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahakdeep Singh ◽  
Kanwarpreet Singh ◽  
Amanpreet Singh Sethi
Keyword(s):  
Business Performance ◽  
Discriminant Validity ◽  
Statistical Tests ◽  
Pearson Correlation ◽  
Green Manufacturing ◽  
Statistical Testing ◽  
Content Type ◽  
Medium Scale ◽  
Green Practices ◽  
Significant Factors

Purpose The current manuscript is focused on evaluating the capabilities of green practices that affect various business performance (BP) parameters of small and medium scale Indian manufacturing enterprises (SME’s). This study aims to obtain multiple significant factors that influence the implementation of green practices. Design/methodology/approach The manuscript focuses on statistical testing of responses obtained from 168 Indian SMEs to determine the relationship between input parameters and BP parameters. This paper starts with deploying tests such as Cronbach alpha and inter-item covariance test to obtain confidence in data collected, followed by various statistical tests such as Pearson correlation, multiple regression, canonical correlation to extract various significant factors the study. Further Games-Howell post hoc test is deployed to evaluate the significant improvements in BP gained over a reasonable duration of time. Finally, a discriminant validity test is used to find out the success or failure of the organizations that participated in the survey. Findings This research contributes to the holistic effect of green manufacturing (GM) toward gaining improvements in terms of different BP parameters taken for the study. It has been found that various input factors such as customer attributes, adoption of new technology, social pressure and government pressure are the main parameters for GM implementation. Further, it is observed that those at the maturity phase of GM implementation are reaping higher benefits than the organizations at the transition and stability phase. Originality/value The current study has been accomplished in Indian SME manufacturing organizations to investigate the effects of GM implementation in the organization. Although research findings imply the effective use of green practices within the organization to reap BP parameters and improve the market’s competitive image, the study cannot be generalized and can be used as an insight for both academicians and end-users in understanding the overall achievements of GM.

Effect of Green Practices on Organizational Performance: An Evidence from Pakistan

2020 ◽  
Vol 19 (02) ◽  
pp. 291-308
Author(s):  
Yang Shuhui ◽  
Zhang Yu ◽  
Syed Abdul Rehman Khan ◽  
Hina Abbas
Keyword(s):  
Organizational Performance ◽  
Structural Equation ◽  
Positive Association ◽  
Green Manufacturing ◽  
Industrial Area ◽  
Manufacturing Firms ◽  
Future Research ◽  
Green Technologies ◽  
Green Practices ◽  
Recycling Techniques

This research examines the effects of green supply chain (SC) practices including recycling techniques, green logistics (G2), environmental protection trainings and programs, and green manufacturing. A data sample of 339 manufacturing firms was collected from the industrial area of Punjab, Pakistan. By using Structural Equation Modelling (SEM), the findings indicated that except GL, the remaining green practices (GP) have significant and positive association with the organizational performance. In addition, GL have insignificant effect on firms’ performance due to government non seriousness, no financial subsidies on green technologies, heavy import duties, scarcity of green technologies/vehicles in Pakistan and that most firms import green vehicles from European and Western countries which incur huge costs into SC system in terms of long lead time. This study will help the policymakers and SC managers to understand the problems and current situation of GSCM in the manufacturing firms of Pakistan. Further, we also discuss research limitations, areas for future research.

Ranking model of total quality management enablers in healthcare establishments using the best-worst method

2019 ◽  
Vol 31 (5) ◽  
pp. 790-814 ◽  
Author(s):  
Faisal Talib ◽  
Mohammad Asjad ◽  
Rajesh Attri ◽  
Arshad Noor Siddiquee ◽  
Zahid A. Khan
Keyword(s):  
Continuous Improvement ◽  
Significant Rise ◽  
Successful Implementation ◽  
Total Quality ◽  
Main Category ◽  
Content Type ◽  
Adoption And Implementation ◽  
Ranking Model ◽  
Improved Performance ◽  
Best Worst Method

Purpose Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services through the adoption and implementation of TQM enablers. The purpose of this paper is to identify such enablers and then propose a ranking model for TQM implementation in Indian HCEs for improved performance. Design/methodology/approach The study identifies 20 TQM enablers through comprehensive literature survey and expert’s opinion, and classifies them into five main categories. The prominence of these enablers is established using a recently developed novel multi-criteria decision making (MCDM) method, i.e. best-worst method (BWM). The importance of the various main category and sub-category enablers is decided on the basis of their weights which are determined by the BWM. In comparison to other MCDM methods, such as analytical hierarchy process, BWM requires relatively lesser comparison data and also provides consistent comparisons which results in both optimal and reliable weights of the enablers considered in this paper. Further, a sensitivity analysis is also carried out to ensure that the ranking (based on the optimal weights) of the various enablers is reliable and robust. Findings The results of this study reveal that out of five main category enablers, the “leadership-based enablers (E1)” and the “continuous improvement based enablers (E5)” are the most and the least important enablers, respectively. Similarly, among the 20 sub-category enablers, “quality leadership and role of physicians (E14)” and “performing regular survey of customer satisfaction and quality audit (E52)” are the most and the least dominating sub-category enablers, respectively. Research limitations/implications This study does not explore the interrelationship between the various TQM enablers and also does not evaluate performance of the various HCEs based on the weights of the enablers. Practical implications The priority of the TQM enablers determined in this paper enables decision makers to understand their influence on successful implementation of the TQM principles and policies in HCEs leading to an overall improvement in the system’s performance. Originality/value This study identifies the various TQM enablers in HCEs and categorizes them into five main categories and ranks them using the BWM. The findings of this research are quite useful for management of the HCEs to properly understand the relative importance of these enablers so that managers can formulate an effective and efficient strategy for their easy and smooth implementation which is necessary for continuous improvement.

Designing a maturity model for analyzing information and knowledge management in the public sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aki Jääskeläinen ◽  
Virpi Sillanpää ◽  
Nina Helander ◽  
Riikka-Leena Leskelä ◽  
Ira Haavisto ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Public Sector ◽  
Organizational Performance ◽  
Management Practices ◽  
Extensive Literature ◽  
Maturity Model ◽  
Content Type ◽  
The Public ◽  
Depth Analysis ◽  
Information And Knowledge Management

Purpose This study aims to report the design and testing of a maturity model for information and knowledge management in the public sector, intended for use in frequent monitoring, trend analysis and in-depth analysis of the contemporary information and knowledge management practices of an organization. Design/methodology/approach A design science approach was used to develop the proposed model. Creation of the model was based on an extensive literature review. Testing of the model was implemented as a survey receiving 37 responses from nine organizations organizing and purchasing public services. Findings The study presents four alternative profiles for an organization’s status, novice, experimenter, facilitator and advanced exploiter, and investigates the differences between these profiles on the basis of the empirical data gathered. The model was found to be both a valid and practical way to determine the state of an organization’s information and knowledge management and identify development needs. Research limitations/implications Testing was conducted in the Finnish public sector and further studies applying the model could be implemented in other countries. The model presented was designed specifically for the public sector and more research is needed to test its applicability in the private sector. Originality/value Maturity models are useful when evaluating information and knowledge management status in an organization, and beneficial for improving organizational performance. The proposed maturity model combines the fields of knowledge management and information management and contributes to the literature with an overarching maturity model that includes a dimension of satisfaction with the organizational maturity level. While many earlier models originate from the consultancy business, the model presented here was also designed for research purposes and tested in practice.

Performance measurement effects on organizational responses to threats

2015 ◽  
Vol 19 (1) ◽  
pp. 24-32 ◽  
Author(s):  
George Huber
Keyword(s):  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Management ◽  
Measurement System ◽  
Management System ◽  
Organization Design ◽  
Performance Measurement System ◽  
Performance Management System ◽  
Content Type ◽  
Management Literature

Purpose – The purpose of this paper is to explain how an organization’s performance measurement system can influence the appropriateness of an organization’s responses to threats. Design/methodology/approach – Inductive and deductive reasoning, drawing on major theories and on empirical findings in the management literature. Findings – An organization’s performance measurement system can influence the effectiveness of the organization’s detections of threats and the appropriateness of the organization’s responses to threats and, in these ways, contribute to the organization’s robustness and sustainability. Practical implications – Formation of an appropriate performance management system can prove critical to both detection of and responses to organizational threats. As such, an organizational performance management system can contribute to organizational robustness and sustainability. Originality/value – The idea, that an organization’s performance measurement system can influence the effectiveness of the organization’s detections of threats and the appropriateness of the organization’s responses to threats, is not articulated in the management literature. Thus, the research reported here is original and would seem to have value to the research community, the organization design community (as an organization’s control systems are an important component of its architecture), and the management community.

Situations-vacant fall where employees are engaged

2014 ◽  
Vol 22 (5) ◽  
pp. 22-25 ◽  
Author(s):  
Randall P. Bandura ◽  
Paul R. Lyons
Keyword(s):  
Organizational Performance ◽  
Employee Engagement ◽  
Human Resource ◽  
Extensive Literature ◽  
Content Type ◽  
General Managers ◽  
Work Tasks ◽  
Employee Characteristics ◽  
Resource Specialists ◽  
Practical Implications

Purpose – The purpose of this study is to summarize recent commentary and research about employee engagement. It offers information on practices and suggestions aimed at helping human resource specialists and general managers to stimulate opportunities for employees to become more engaged in their work. Design/methodology/approach – Discusses employee engagement based on an extensive literature review of recent research and commentary regarding the concept. Findings – Advances the view that, depending upon one’s organizational culture, work tasks and employee characteristics, there are many practical opportunities for managers to help employees to become more engaged in their work and organization. Practical implications – Explains how employee involvement can help to improve product quality, cut costs, bolster employee retention and boost organizational performance. Social implications – Argues that employees have to find personal meaning in their work to be engaged. Originality/value – Serves as a refresher for those interested in the concept of employee engagement. Offers practical suggestions for human resource specialists.

High performance work system, HRD climate and organisational performance: an empirical study

2015 ◽  
Vol 39 (3) ◽  
pp. 239-257 ◽  
Author(s):  
Ashutosh Muduli
Keyword(s):  
Organizational Performance ◽  
Human Resource Development ◽  
High Performance ◽  
Extensive Literature ◽  
Development Environment ◽  
Content Type ◽  
Work System ◽  
High Performance Work System ◽  
The Relationship

Purpose – This paper aims to study the relationship between high-performance work system (HPWS) and organizational performance and to examine the role of human resource development (HRD) Climate in mediating the relationship between HPWS and the organizational performance in the context of the power sector of India. Design/methodology/approach – The empirical research paper has been conceptualized on the basis of extensive literature survey and examined through a case-based approach. Data and information collected to examine strength of the proposed hypothesis in the context of a power-based company in India. Findings – Agreeing with most of the research, HPWS is found to be positively related with organizational performance. The result does not agree with the HPWS research conducted in Asian countries. Taking clues from “Black Box” approach, the role of HRD Climate as a mediating factor has been studied. The result proved that HPWS influences organizational performance through a supportive development environment (HRD climate) based on openness, confrontation, trust, authenticity, proaction, autonomy, collaboration and experimentation (OCTAPAC). Research limitations/implications – Designing and implementing HPWS requires the organization to nurture and develop a suitable HRD climate through development of organizational culture based on OCTAPAC. Practical implications – Implications for HRD–HPWS practices such as group-based pay, decentralized participative decisions, self-managed work teams, social and family events, and appraisal based on team goals along with OCTAPAC culture can significantly contribute to the transfer climate by influencing both peer and supervisor. It can significantly contribute to training motivation by influencing both career and job attitudes, and organizational commitment of trainees. Originality/value – The research is unique in its attempt to understand the role HRD climate as intermediating variables to enhance the effectiveness of HPWS. This may add a lot of value in encouraging organizations to establish HRD Climate.

A speculation of the presence of overlap and niches in organizational performance management systems

2013 ◽  
Vol 62 (4) ◽  
pp. 364-386 ◽  
Author(s):  
Suwit Srimai ◽  
Chris S. Wright ◽  
Jack Radford
Keyword(s):  
Organizational Performance ◽  
Performance Management ◽  
Niche Overlap ◽  
Strategic Decision ◽  
Strategic Learning ◽  
Strategy Formulation ◽  
Content Type ◽  
Performance Management Systems ◽  
Implementation Processes ◽  
Broad Array

PurposeThe purpose of this paper is to consider the presence and consequences of functional overlap in organizational performance management (PM) systems.Design/methodology/approachThis paper is speculative in that it considers the consequences of organizations applying multiple PM systems. Four widely‐used PM systems from various management perspectives are selected as proxies to demonstrate that overlap can occur across a broad array of extant PM systems. The content of the selected PM systems literature was used for analysis.FindingsThe analysis found evidence of substantial functional overlap among the selected PM systems. Significant niche overlap occurred in the functions: assisting strategy formulation and implementation processes; supporting strategic decision making; and facilitating strategic learning.Practical implicationsThis study and its findings should help scholars to reframe their understanding of PM systems and let managers recognize and take action to optimize the benefits and costs of functional overlap.Originality/valueThe paper identifies functional overlap; a concept not explicitly addressed in the PM literature.

Funding sources and performance management systems: an empirical study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manzurul Alam ◽  
Megan Paull ◽  
Anne Peachey ◽  
David Holloway ◽  
John Griffiths
Keyword(s):  
Nonprofit Organizations ◽  
Organizational Performance ◽  
Performance Management ◽  
Single Case ◽  
Management Systems ◽  
Structured Interviews ◽  
Content Type ◽  
Performance Management Systems ◽  
Funding Sources

Purpose The purpose of this paper is to explore how performance management systems in nonprofit organizations are influenced by their funding sources. It explains how resources motivate organizations to diversify their strategies with attended performance management systems. Design/methodology/approach It adopts a qualitative case study approach involving semi-structured interviews with key informants in a nonprofit organization to understand the evolving nature of performance management systems associated with different funding sources. Findings The findings suggest that the case study organization changed its revenue base along with its performance management systems to satisfy the reporting and accountability requirements of different funding sources. Despite external funding sources detailing different restrictions and requirements, the overall performance management system was able to manage these different expectations. Research limitations/implications This study is based on a single case study, and its findings need to be interpreted with care, as there are differences between nonprofit organizations because they differ in their environments, services and funding. Originality/value This paper contributes to extant knowledge on how organizational performance management is influenced by funding sources, providing insights at the operational and governance levels.

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