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This study aims to assess the moderating and mediating role of supportive culture (SC) in the relationship between participation in decision-making (PDM) and job satisfaction (JS) and the dimensions of commitment, such as affective commitment (AC), normative commitment (NC) and continuance commitment (CC).

Data were collected from 712 employees working in different public sector undertakings (PSUs) across India. Necessary condition analysis and partial least square analysis were used to test the proposed hypotheses.

The findings of the present study indicated that SC is partially mediating the relationship between PDM and JS; PDM and AC. However, SC did not mediate the relationship between PDM and NC; PDM and CC. PDM was positively and significantly related to SC, JS, AC, NC and CC. JS had a significant impact on AC, NC and CC. It is highly desirable for organizations to retain their employees ranging from line managers to top management levels and provide opportunities for everyone to actively use their experience and expertise.

The findings have implications for managers, as well as employees in PSUs, as they demonstrate how several work-related factors can be emphasized to maintain employees' commitment and motivation. Until now, India has paid scant attention to the role of SC as a mediator and moderator between PDM, JS and multiple commitments. This study cautiously collected responses from unbiased employees working in a variety of organizational functional units.

This paper aims to study the complex behavior of a dynamical system using fractional and fractal-fractional (FF) derivative operators. The non-classical derivatives are extremely useful for investigating the hidden behavior of the systems. The Atangana–Baleanu (AB) and Caputo–Fabrizio (CF) derivatives are considered for the fractional structure of the model. Further, to add more complexity, the authors have taken the system with a CF fractal-fractional derivative having an exponential kernel. The active control technique is also considered for chaos control.

The systems under consideration are solved numerically. The authors show the Adams-type predictor-corrector scheme for the AB model and the Adams–Bashforth scheme for the CF model. The convergence and stability results are given for the numerical scheme. A numerical scheme for the FF model is also presented. Further, an active control scheme is used for chaos control and synchronization of the systems.

Simulations of the obtained solutions are displayed via graphics. The proposed system exhibits a very complex phenomenon known as chaos. The importance of the fractional and fractal order can be seen in the presented graphics. Furthermore, chaos control and synchronization between two identical fractional-order systems are achieved.

This paper mentioned the complex behavior of a dynamical system with fractional and fractal-fractional operators. Chaos control and synchronization using active control are also described.

The purpose of this paper is to identify potential constraints and determine the constraint structure in a steel manufacturing plant. “Potential constraint” is defined as a factor that is either a constraint at present or can become one in the future and “constraint structure” is used to denote the network of influences between the potential constraints in an organization.

A three-step methodology was followed. First, potential constraints in a steel manufacturing plant were identified with a literature review and expert inputs. Then, the fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique was applied to uncover the structure and finally, an ex-post validation and refinement of the results was done with help from other experts.

A total of 10 key potential constraints to steel manufacturing were identified. The two outputs of fuzzy DEMATEL – the influence scatter plot (ISP) and the influence network diagram (IND) – together reveal the constraint structure. The 10 potential constraints could be classified into three types – influencers, mediators and influenced – respectively. Of these “Top management commitment (TMC)” and “Clear vision and long-term planning (CLP)” influence other factors the most, and are themselves influenced the least; while “Customer Relationship Management (CRM)” is most influenced by other factors, while influencing other factors the least.

Potential constraints and the constraint structure can help decision makers in a steel manufacturing plant to identify which organizational factors to address and achieving the plant's goals.

This is the first study that analyzed organizational level constraints in a steel manufacturing context.

Personal financial management is gaining momentum in modern society, as it plays a vital role in shaping the financial behaviour of people looking forward to adequate financial well-being. Hence, people in general and the weaker sections of society in particular are expected to show desirable financial behaviour for achieving individual as well as societal well-being. The present study investigates the impact of socio-economic characteristics on the financial behaviour of migrant workers who have migrated to the state of Tamil Nadu. The primary data were collected using the interview schedule from 200 migrant workers selected using the snowball sampling technique. The results show that migrant workers have mediocre financial behaviour. Furthermore, it is also found that migrant workers’ financial behaviour is not influenced by their socio-economic characteristics, such as gender, age, marital status, family type, and family income. However, the level of education has a significant positive role in shaping the financial behaviour of the migrant workers. The study outlines the need for specially engineered financial education for migrant workers.

Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the marketing field. This is a review article that tracks my progress through these years that has led me to explore different areas of marketing, thereby shaping me as a researcher and an academic. As I see now, all of my research work can be viewed from a decision-making point of view – decisions that marketers can make either at the market, brand/firm/store, or the customer level. These decisions have in turn been transformed into strategies or tactics leading up to successful implementations and improved bottom-line results. The development of strategies/tactics and successful implementations can be seen in nearly 10 areas of research that I have involved myself in. This article also highlights how my research studies have contributed and advanced the creation of knowledge in each of these research areas.

Manufacturing industries are facing dynamic challenges in today’s highly competitive world. In the recent past, integrating Industry 4.0 with the lean six sigma improvement methodologies has emerged as a popular approach for organizational excellence. The research aims to explore and analyze critical success factors of lean six sigma integrated Industry 4.0 (LSSI).

This research study explores and analyzes the critical success factors (CSFs) of LSSI. A three-phase study framework is employed. At first, the CSFs are identified through an extensive literature review and validated through experts’ feedback. Then, in the second phase, the initial list of CSFs is finalized using the fuzzy DELPHI technique. In the third phase, the cause-effect relationship among CFSs is established using the fuzzy DEMATEL technique.

A dyadic relationship among cause-and-effect category CSFs is established. Under the cause category, top management commitment toward integrating LSSI, systematic methodology for LSSI and organizational culture for adopting changes while adopting LSSI are found to be topmost CSFs. Also, under the effect category, organizational readiness toward LSSI and adaptability and agility are found to be the uppermost CSFs.

The study offers a framework to understand the significant CSFs for LSSI implementation. Insights from the study will help industry managers and practitioners to implement LSSI and achieve organizational excellence.

To the best of the authors’ knowledge, CSFs of LSSI are not much explored in the past by researchers. Findings will be of great value for professionals in developing long-term operations strategies.

Supply chain disruptions can have severe negative consequences on companies. However, studies measuring the financial impacts of supply chain disruptions are largely confined to developed nations and large companies. Therefore, this study aims to analyze the impact of supply chain disruption on small companies in the context of an emerging nation. Further, an attempt has been made to classify supply chain disruptions and measure its impact by its type.

In this research, the event study on 335 supply chain disruption events for a 10 year period starting from 2009 to 2019 has been used.

The results state that the Indian small and medium companies lost −4.49% of shareholder wealth in disruption. The findings also indicate that the financial and environmental disruptions can have severe effect on shareholder wealth as compared to other category.

The study is confined to a developing country. Considering multiple countries can provide comparative results and therefore a global consensus could be achieved.

The outcomes of the results help managers to plan and prioritize supply chain disruptions, regulatory authorities can plug any possible insider trading practices for small companies in the event of supply chain disruptions. Investors can plan and take prudent investing decisions based on the nature of the disruptions.

To the best of the knowledge, this is the first study measuring the supply chain disruption effects on smaller companies in an emerging nation. The study is also novel in incorporating financial disruptions and measuring source wise impact on shareholder wealth.

The purpose of this paper is to review Lean Six Sigma (LSS) literature and report different definitions, demographics, methodologies and industries.

This paper highlights various definitions by different researchers and practitioners. A total of 235 research papers has been reviewed for the LSS theme, research methodology adopted, type of industry, author profile, country of research and year of publication.

From the review, four significant LSS classifications were identified that deal with the spread of LSS in different industries followed by observation for classification.

LSS is a strategy for success, but it did not examine its presence in various Industries. From this paper, readers can understand the quantum of its spread before implementing LSS. For academicians, it will be a comprehensive list of papers for research.

This paper reviews 235 research papers for their year, author profile, research methodology and type of industry. Various characteristics of LSS definitions and their theme are also reviewed.