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This paper not only draws conclusions from the available literature but also offers some new factors as well, which are not included in the existing literature. To be more precise, the purpose of this paper is to ascertain factors behind the clustering of the motorcycle industry, a low-tech and low investment industry. This paper weighs the government’s policies, role of factors of production, infrastructure, geography and other drivers for the subject industry and associated industries in the geographic location of Hyderabad.

For collection of data, a questionnaire was designed to survey the cluster (n=250) after reviewing the literature and conducting interviews of experts of the motorcycle manufacturing industry, i.e. owners, managers, auditors, suppliers, etc.; a component matrix was developed to reduce the dimension of factors and measure the correlation, which helped to weigh the influence of factors. A confirmatory factor analysis proposed four factors as the best fit.

The study conjectured a new viable factor for industrial clustering: “ethnic community,” as it acts as a catalyst to diffuse knowledge, experience and skills within the industrial cluster.

This research does not find the weightage of the factors for industrial clustering, i.e. it does not calculate the influence of factors behind the industrial clustering.

The above findings aim to stimulate policy makers and researchers alike to further pursue the line of inquiry developed in this paper.

A first-time confirmatory factor analysis is used to find the reasons of industrial clustering. Root mean square error of approximation is used to test the model fit. Most importantly, it is the research about an emerging industrial cluster.

The purpose of this paper is to analyze research methodologies and publication trends across geographical regions in the field of supply chain innovation (SCI) and provide a discussion of future research in the SCI.

Using a content analysis approach, this paper investigates 26 years of SCI research based on a sample of 473 journal articles published in 77 peer-reviewed international journals.

There has been an increasing focus on empirical quantitative research design as compared to empirical qualitative, conceptual quantitative and conceptual qualitative designs in the field of SCI. Continued research interest in SCI from all parts of the world including North America, Europe and Asia illustrates the importance of SCI in the broader field of management.

The inclusion of a large number of journals provides greater confidence in the identified trends. However, as the top-tier journals publish only the most rigorous studies, considering all journals as equally weighted will give rise to a mixed pool of studies. Identifying trends from this mixed pool may provide more comprehensiveness at the cost of inclusion of non-core journals of the field.

The current study builds a holistic view of the methodological progress made so far in the field of SCI.

Using multiple theoretical lenses, the paper develops and empirically tests a service design-based framework of effective customer participation (CP) in service delivery. Particularly, the paper examines the impact of customer education on effective CP, besides the latter's effect on service quality. The direct and moderating effect of service modularity on the association between customer education and effective CP is also studied.

Covariance-based structural equation modeling is used to test the hypotheses using the survey data collected from the healthcare industry within Pakistan.

The results lend support for the presence of individual and mutually reinforcing effects of customer education and service modularity on effective CP in service delivery, ultimately affecting service quality.

Building on the CP and customer learning literature, this research extends the work on antecedents and consequences of effective CP in the larger domain of the service design and service delivery literature.

The findings reveal that service managers should design services such that by design, CP is ingrained within service delivery processes so that it is effectively managed during service delivery for superior service quality.

Given the already scant research that has either taken a narrower view of CP (mostly in pre- or post-service delivery), the current research makes one of the initial attempts to identify, theorize and empirically test the service design level antecedents for holistic CP spanning over the physical, behavioral and informational participation during the service delivery.

The purpose of this study is to examine the role of financial and nonfinancial information in determining individual investor's investment decisions by analyzing the mediating effect of corporate reputation.

The approach of this study is deductive; therefore, the quantitative strategy is used for data collection. Primary data are collected from individual investors actively involved in stock trading at Pakistan Stock Exchange (PSX). Structural equation modeling is used to assess structural relationships.

The key findings of this study posit that financial and nonfinancial information positively influence an individual investor's investment decision. This study also provides empirical evidence confirming the mediating role of corporate reputation. Categorically, the findings indicate that financial and nonfinancial information remain significant to build perceived corporate reputation and influence investor's investment decisions.

he proposed model presents novel insight into the individual investor's investment decision in the context of Pakistan. The findings of this study remain robust for firms listed on the stock exchange and individual investors involved in stock trading. The results of this study are substantial to individual investor's and broker for making informed financial choices. Moreover, the firms listed on the PSX can use the findings to establish improved corporate reputation through reporting detailed financial and nonfinancial information.

Studies based on subjective measures in finance are lacking. This study contributes to the existing literature of behavioral finance by analyzing variations in investor's investment decisions explained by informational factors. The proposed model testifies the mediating role of corporate reputation in guiding investor's investment decisions, which has been overlooked by past studies. Therefore, this study seeks to fill this gap in the context of the PSX.

Business Intelligence has gained a significant attraction in the recent past and facilitates managers for efficient business decision-making. Over the years, the attraction toward the cryptocurrency (CC) market has increased. Since the CC market is highly volatile, it is extremely sensitive to shocks and web data related to large events happening around the globe.

This research study provides a business intelligence model to predict five top-performing CCs. In this study, deep learning, linear regression and support vector regression (SVR) are used to predict CC prices. The sentiment of some mega-events is also used to enhance the performance of these models.

The results show that models of business intelligence such as deep learning and SVR provide better results. Moreover, the results show that the incorporation of social media sentiment data significantly improves the performance of the proposed models. The overall accuracy of the model improves approximately twofold when multiple event sentiments were incorporated.

The use of social media sentiment of global and local events for different countries along with deep learning for CC forecasting.

This paper aims to investigate the role of organizational and technological enablers and their arrangement and alignment with the external environment to facilitate supply chain integration (SCI), which consequently improves operational performance.

The paper uses a structural equation modeling approach and the data from 307 manufacturing firms from the International Manufacturing Strategy Survey version VI for hypotheses testing.

The findings of the study reveal that (1) the alignment and particular arrangement of the sociotechnical organizational factors enable the SCI of a firm, (2) suitable organizational arrangements help in leveraging SCI under environmental pressures, and (3) SCI leverages the relationship between sociotechnical organizational factors and operational performance of the firm.

This paper informs managers that SCI leverages the operational performance of firms under heightened environmental pressures. Developing suitable manufacturing technologies infrastructure followed by organizational practices aligned with the manufacturing technologies make it easier to realize SCI.

This study explores the interaction of technological, organizational, and environmental factors as driving and enabling factors that help achieve SCI. Firms that develop an open and collaborative environment and use communication and integrative technologies to complement their work practices better cope with external pressures. These modern forms of working and the use of technologies facilitate SCI and leverage it effectively to positively impact firm performance.

This research examined the effects of information literacy on lifelong learning, creativity, and work performance among journalists in Pakistan.

Survey research design was applied to conduct this research. The participants were recruited through a stratified convenient sampling process from the press clubs of four provinces (e.g. Punjab, Sindh, Khyber Pakhtunkhwa, and Baluchistan) and the federal capital Islamabad with the consent of relevant authorities for data collection. An online questionnaire was distributed among these journalists and a total of 1,089 responses were received. The data were analyzed by applying descriptive and inferential statistics in SPSS.

The results revealed that these journalists perceived themselves as information literate. The information literacy (IL) skills of journalists appeared to have a direct and positive effect on their lifelong learning, creativity, and work performance. In other words, the lifelong learning, creativity, and work performance of journalists increase as their levels of IL skills increase.

These results generated useful insights for academicians and organizations about the importance of IL in the workplace and its influence on organizational effectiveness and performance in gaining a sustainable competitive advantage. This knowledge might be crucial for media employers to initiate training programs for journalists to impart IL education.

This research would be a worthwhile contribution to the existing research on workplace IL, particularly in the context of journalists' workplace as no such comprehensive study using these variables appeared so far.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2022-0345.

This study draws on the systems perspective to study the individual and combined interaction effect of lean management (LM) and sustainability management (SM) on the organization's triple bottom line (TBL) performance.

The study employs structural equation modeling to test the proposed hypotheses using data from the sixth version of the International Manufacturing Strategy Survey (IMSS VI).

The study finds that LM is positively related to all dimensions of the TBL performance. In contrast, SM is positively related to social and environmental performance and negatively related to economic performance. Finally, by finding that the interaction between LM and (SM) is positive for social and environmental performance, this study not only confirms that LM is an enabler for sustainability, but it also supports that the two paradigms are mutually compatible and reinforcing.

The findings imply that practitioners pursuing both LM and SM should leverage their mutual positive effects and balance the unintended effects of implementing isolated bundles by implementing them together as a complete socio-technical system. Their combined impact on the TBL performance will outweigh the sum of their individual effects in the case of isolated implementations.

In contrast with the extant literature, this study proposes that LM and SM make parts of one system as opposed to one correlated with the other or having a positive causal effect on the other. Taking an integrated systems approach, the study empirically verifies the “mutual compatibility” of the lean and sustainability paradigms argument, with regard to their effect on the TBL performance.

The purpose of this paper is to report the extent and trends of theoretical developments in the empirical quantitative manufacturing strategy (MS) literature published between the years 1966 and 2015 and provide research gaps that can be bridged by the future research.

This content analysis-based literature review analyzes 133 empirical quantitative MS articles published in refereed international journals in the discipline of operations management. These articles are categorized into five article types, namely, reporters, testers, qualifiers, builders, and expanders following the framework of Colquitt and Zapata-Phelan (2007). Analyses are carried out to unearth important trends in theory development in these article types.

Theory development is progressing in empirical quantitative MS literature. However, the trend is shifting from theory testing to theory building. MS discipline has borrowed theories from other disciplines. Expectancy theory and media richness theory are the micro theories while resource-based view, contingency theory, and trade-off theory are the major macro theories used in this domain. The most impactful constructs include environmental technology portfolio, enterprise resource planning, manufacturing proactiveness, and modularity-based manufacturing practices, and the most dominant article types are qualifiers and expanders.

The findings are based on the empirical quantitative articles published in the MS discipline which provides a partial view of theory development in the MS discipline.

The paper highlights predominant theories, frameworks, and constructs that can be utilized by practitioners to improve their understanding of MS, their ability to predict future scenarios and solve practical problems.

No such study has been conducted to date in the MS discipline, and it is hoped that this study will play a significant role in further developing theory in the MS discipline.

Unethical pro-organizational behavior (UPB) is one of the major reasons behind high-profile financial frauds in the recent past. This study aims to explore how an exclusive focus on financial outcomes, i.e. supervisor bottom-line mentality (BLM) leads to UPB among employees and highlights the critical role of self-regulation impairment and perceived employability in the process. Drawing on self-regulation theory, this study examines how BLM and perceived employability interactively impact self-regulatory strength, which ultimately influences UPB.

The theoretical model is tested through a time-lagged field study of 171 employees and hypothesis testing in SPSS PROCESS Macros.

Results suggest that self-regulation impairment mediates a positive relationship between supervisor BLM and employee UPB and perceived employability moderates this indirect association between BLM and UPB, wherein the indirect positive relationship is stronger when perceived employability is low (than high).

This study contributes to the BLM and UPB literature by identifying the critical role of perceived employability and suggesting that UPB is an impulsive action rather than an intentional move.