PurposeScholars are increasingly focusing on the adverse effects of digitization on human lives in personal and professional contexts. Cyberloafing is one such effect and digitization-related workplace behavior that has garnered attention in both academic and mainstream media. However, the existing literature is fragmented and needs to be consolidated to generate a comprehensive and contemporary overview of cyberloafing research and map its current intellectual boundaries. The purpose of this paper is to shed some light on systematic literature review (SLR) in cyberloafing and cyberslacking in the workplace.Design/methodology/approachA SLR is conducted to assimilate the existing research. A total of 87 studies selected through a robust protocol are analyzed through content analysis.FindingsA total of four thematic research areas and inherent gaps are identified, including conceptualization, operationalization, antecedents and stakeholders and consequences. Results are used to assimilate thematic gaps and potential research questions (RQs) to be addressed by future scholars. To advance cyberloafing research, the authors propose a theoretically grounded comprehensive framework based on the SLR findings.Originality/valueOur study's novelty rests in its state-of-the-art synthesis of cyberloafing research, which encompasses a broader scope than prior SLRs. Furthermore, developing a theoretically grounded comprehensive framework for advancing future research is a unique contribution of this study.

PurposeThe purpose of this paper is to empirically investigate the relationship between working capital management (WCM) efficiency and exogenous variables of the Indian manufacturing sector along with its sub-industries that are involved in export activities.Design/methodology/approachPanel regression (fixed effects) was used on a sample of 563 Indian manufacturing firms involved in export activities, covering a time period from 2008 to 2018.FindingsIndustry-wise results showed a significant relation of leverage, net fixed asset ratio, profitability, asset turnover ratio, total asset growth rate and productivity with cash conversion cycle (CCC).Research limitations/implicationsFirstly, having taken a sample from a developing economy, the results of our study may be generalizable only among developing contexts. Secondly, the time period taken in this study (2008–2018) has witnessed several economic fluctuations such as recession and demonetization which might differ for the firms or countries in normal conditions.Practical implicationsAn improved working capital model could advance the firms' performance by reducing the CCC of the firm, thereby creating efficiency in WCM. In addition, the results of this study could be helpful for many stakeholders such as working capital managers, debt holders, investors, financial consultants and others for monitoring the firms.Originality/valueThis study contributes to the existing literature in the relation between WCM efficiency and exogenous variables of the Indian manufacturing firms engaged in the export activities. Moreover, this study is one of the few research studies to investigate this relationship among Indian export firms in different industries, thus filling the gap in similar work done in other countries.

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PurposeThis study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.Design/methodology/approachDEA is applied for deriving WCM efficiency for 212 Indian manufacturing firms over a period from 2008 to 2019. Also, the effect of human capital (HC), structural capital (SC), cost of external financing (CEF), interest coverage (IC), leverage (LEV), net fixed asset ratio (NFA), asset turnover ratio (ATR) and productivity (PRD) on the WCM efficiency and firms' performance is examined using SEM.FindingsThe average mean efficiency scores ranging from 0.623 to 0.654 highlight the firms operating at around 60% of WCM efficiency only, which is a major concern for Indian manufacturing firms. Further, IC, LEV, NFA, ATR revealed direct effect on the WCM efficiency as well as indirect effect on firms' performance, whereas CEF had only a direct effect on WCM efficiency. HC, SC and PRD had no effects on WCM efficiency and firms' performance.Practical implicationsThe findings offer vital insights in guiding policy decisions for Indian manufacturing firms.Originality/valueThis study is the first to identify the endogenous nature of the relationship of HC, SC, CEF, IC altogether with firms' performance, compounded by the WCM efficiency, by applying a comprehensive methodology of DEA and SEM and provides an efficiency performance model for better decision-making.

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