Search results

This research study aims to design a novel risk-managed time-series momentum approach. The present study also examines the time-series momentum effect in the Indian equity market. Apart from this, the study also proposes a novel risk-managed time-series momentum approach.

The study considers the adjusted monthly closing prices of the stocks listed on the Bombay Stock Exchange from January 1996 to December 2020 to formulate long-short portfolios. Newey–West t statistics were used to test the significance of momentum returns. The present research has considered standard risk factors, i.e. market, size and value, to evaluate the risk-adjusted performance of time-series momentum portfolios.

The present research reports a substantial absolute momentum effect in the Indian equity market. However, absolute momentum strategies are exposed to occasional severe losses. The proposed time-series momentum approach not only yields 2.5 times higher return than the standard time-series momentum approach but also causes substantial enhancement in downside risks and higher-order moments.

The study's outcomes offer valuable insights for professional investors, capital market regulators and asset management companies.

This study is one of the pioneers attempting to test the time-series momentum effect in emerging economies. Besides, current research contributes to the escalating literature on risk-managed momentum by suggesting a novel revised time-series momentum approach.

This study aims to present insights on the relationship between perceived software process improvement (PSPI) and information technology (IT)-enabled knowledge management (KM). Moreover, the study provides an understanding of the mediating effect of critical success factors (CSFs) for effective IT-enabled KM on the previously mentioned relationship.

The respondents in the study involved employees in the software engineering (SE) organizations in national capital region in India. The structured equation modeling technique carried out through IBM.SPSS.Amos.v21-EQUiNOX was used to develop and evaluate the proposed framework. The proposed hypothesis testing has been carried out by path analysis using SPSS process macro.

The findings of the empirical study reveal that a significant relationship exists between the variables under investigation. Moreover, it was observed that CSFs act as a mediator between PSPI and IT-enabled KM. The identified factors are associated with various aspects as managerial, infrastructure, financial, systems and processes for IT-enabled KM. IT acts as a moderator between KM and PSPI and facilitate the various phases of KM as knowledge creation, storage and retrieval, sharing and application of knowledge.

The present study introduces a framework for identifying and applying the CSFs that influence the KM initiatives for PSPI in an SE organization. The practitioners can use the CSFs for assessing the performance (strengths and weaknesses) in process of software development and KM practices. Researchers can use the resultant framework proposed in the empirical study for PSPI, IT-enabled KM, and in academia, the framework supports to organize the study of IT-enabled KM for PSPI.

The general comprehension of the relationship between IT-enabled KM and PSPI for Indian SE organizations is scarce in the literature. Following, the analysis expands the earlier research by exploring the mediating role of the CSFs and the moderating effect of IT for KM and PSPI relationship.

The purpose of this paper is to investigate the roles of human resource development (HRD) in open universities. The study also intends to assess the current situation of HRD at Hanoi Open University (HOU) with an end view of proposing some suggested recommendations to enhance HRD to improve the training quality and effectiveness at HOU.

The study’s first two parts refer to HRD’s role in open universities. The third one summarizes the existing research literature on HRD used as theoretical base for the author to evaluate the current HRD at HOU in the fourth part. The fifth part involves the methodology to gather the data on HRD practices at HOU while the next two important parts deal with the study’s findings and recommendations for better HRD at HOU. The final part summaries the study’s main points. Referring methodology, the survey data were analyzed through frequency, percentage and weighted mean as statistical tools.

The study’s findings show that HRD practices at HOU are not as effective as expected in terms of human resource quality, human resource structure and human resource management. There is a shortage of full-time well-qualified employees, inadequate and imbalance working positions, and un-synchronous, fragmented personnel management.

The study’s values are not only useful for building policies on HRD but also for developing strategies to train and foster capable and adequate staff in open universities’ academic environment and in HOU as well.

The fear of the pandemic, confinement at home and the need to work created a unique situation. The pandemic catalyzed work-from-anywhere practice by adopting information and communication technologies (ICT) across all industries. While ICT saved organizations, it increased technostress among the workforce. A better understanding of the adverse effects of ICT usage might enable organizations to manage the mental well-being of the workforce. While technostress is gaining increasing interest, scholarly work investigating the dimensions of technostress and its impact on creating stress across various employee demographics and industry types is missing. Contrary to the prevalent assumptions, the authors theorized and tested the adverse moderation effect of the home-work interface on the linkage between technostress dimensions and stress. This paper aims to discuss the aforementioned objective.

The study captures dimensions of technostress and the resulting stress at work using a survey-based analysis of 881 working employees in India, representing multiple industries and functions.

The study indicates that techno-overload, techno-complexity and techno-invasion significantly impact employees during the pandemic. The authors further found that the home-work-interface is a powerful factor in understanding the complex linkage between dimensions of technostress and its outcomes.

Based on the Conservation of Resources Theory and the Job-Demand-Resources model, this study highlights the adverse impact of this trend on employee well-being. However, the study suffers from a cross-sectional research design. The technostress research has focused primarily on static, at-premise environments and mostly on high ICT usage industries. Due to the pandemic, it has neglected the impact of various technostress dimensions across employee cohorts subjected to rapid technology-enabled working. Further, most studies focus on the voluntary choice of remote work. Employees struggle with the unexpected and involuntary shift to technology-enabled remote work. This study contributes to the literature by examining the consequences of technostress in the context of non-voluntary remote work. Contrary to prevailing assumptions, this study highlights the adverse effect of organizational home-work interface in influencing ICT-created stress.

The increasing use of ICT enables telecommuting across the workforce while increasing organizational productivity. Due to the pandemic, these trends will likely change the future of work permanently. To minimize employee stress, practitioners need to reconsider the dimensions of technostress. Further, the study cautions against the prevalent interventions used by practitioners. While practitioners facilitate a home-work interface, it could have adverse consequences. Practitioners may consider the adverse consequences of home-work interface while designing organizational policies.

This study during the pandemic is crucial as research forecasts the likelihood of other cataclysmic events, such as future pandemics and political or climate change events, which may sustain technology-driven remote work practices and remain a feature of the future workplace. Hence understanding the implications of the dimensions of technostress would help organizations and policymakers to implement necessary interventions to minimize employee stress.

The present study examines the dimensions of technostress across multiple industries and job functions in an emerging market marked by a high economic growth rate and an Eastern cultural context. This study presents the dark side of excessive ICT adoption and indicates how organizations and HRM practices can help mitigate some of these effects.

The extant literature provides much-needed support to understand marketing accountability and how marketing actions are related to financial performance (FP). However, we have limited understanding of the relationships between marketing actions and firms' social performance (SP) and environmental performance (EP). Understanding these links is critical to enhancing sustainable FP, SP, and EP. Moreover, the literature provides limited understanding of the measures by which SP and EP may be operationalized, or the data necessary to reach a conclusion. This study bridges these gaps by extensively reviewing the extant literature to offer a set of measures and data sources to operationalize SP and EP, and empirically show their relationships with marketing actions. We find that greenhouse gas (GHG) emission, environmental disclosure score, waste reduction, energy consumption, and recycling are prominent measures of EP, and that social disclosure score, philanthropy or community spending, and diversity of gender and race are prominent measures of SP. The KLD, ASSET4, and Bloomberg are prominent sources of data that can be used to operationalize SP, to which CDP may be added for EP. We also show that marketing actions positively affect EP and SP. This study contributes to the extant literature on SP and EP by identifying measures and data sources and linking marketing actions to both performance types. It contributes to policy development by identifying the importance of EP and SP and how marketing actions can help achieve such performance.

The COVID-19 outbreak has imposed extensive shocks embracing all stages of the food supply chain (FSC). Although the magnitude is still unfolding, the FSC responds with remarkable speed, to mitigate the disruptive consequences and sustain operations. This paper aims to investigate how operationalising supply chain agility (SCA) practices has occurred amid the COVID-19 crisis and expectations for how those practices could transform the supply chain in the post-COVID-19 era.

Following an exploratory case-based design, this paper examines the various agile responses that three supply chains (meat, fresh vegetables and bread) adopted and elaborate using the dynamic capability (DC) theoretical lens.

First, the findings demonstrate how, in the wake of the COVID-19 pandemic, each affected case pursued various agile responses through sensing and seizing capabilities. Sensing includes identifying and assessing the relevant opportunities and threats associated with the specific supply chain context. Seizing involves acquiring, combining and modifying the tangible and intangible resources at the firm and supply chain levels. Second, supply chain transformation is likely if firms and their supply chain develop the sustaining capability to ensure that the desirable changes outlast the crisis.

This study provides an actionable guide for practitioners to develop agile responses to systemic changes in times of crisis and to sustain favourable changes so as to enable their outlasting of the crisis.

This study provides a novel and unique perspective on the role of SCA in crisis – in this case, the pandemic. This paper synthesises the empirical stories of the agile responses in the FSC and elaborates on the DC framework, to identify theoretical and practical implications. This paper establishes the sustaining capability as the missing DC capability for enabling transformation in the post-COVID-19 era.

This study aims to explore the possibility of using magnetic biochar composite (MBCC) derived from Heglig tree bark (HTB) powder (agricultural solid waste) and cobalt ferrite (CoFe₂O₄, CFO) for oil spill removal from seawater surface.

One-pot co-precipitation route was used to synthesize MBCC. The prepared materials were characterized by X-ray diffraction, scanning electron microscopy-energy dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy. The densities of the prepared materials were also estimated. Crude, diesel engine and gasoline engine oils were used as seawater pollutant models. The gravimetric oil removal (GOR) method was used for removing oil spills from seawater using MBCC as a sorbent material.

The obtained results revealed that the prepared materials (CFO and MBCC) were able to remove the crude oil and its derivatives from the seawater surface. Besides, when the absorbent amount was 0.01 g, the highest GOR values for crude oil (31.96 ± 1.02 g/g) and diesel engine oil (14.83 ± 0.83 g/g) were obtained using MBCC as an absorbent. For gasoline engine oil, the highest GOR (27.84 ± 0.46 g/g) was attained when CFO was used as an absorbent.

Oil spill removal using MBCC derived from cobalt ferrite and HTB. Using tree bark as biomass (eco-friendly, readily available and low-cost) for magnetic biochar preparation also is a promising method for minimizing agricultural solid wastes (e.g. HTB) and obtaining value-added-products.

This paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis.

A systematic literature review is performed to determine the dimensions of operational excellence in the food supply chain (FSC), then a single use-case analysis is conducted to explore the potential of blockchain in order to achieve operational excellence for PFSC during the pandemics by applying context, interventions, mechanism and outcomes (CIMO) logic.

The findings of this study reveal that blockchain capabilities such as immutability and transparency, visibility, traceability, integration and interoperability, disintermediation and decentralisation, smart contracts and consensus mechanism provide better sustainable operational excellence outcomes for PFSCs to be more responsive, flexible, efficient and collaborative to cope with the impacts of COVID-19.

This research employs only one real case with multiple PFSC participants. Statistical generalisation is not possible at this stage of the research. However, the findings are not restricted to this single use-case.

This study provides a research direction to explore the potential of BT to achieve operational excellence in the PFSC during outbreaks and generates prescriptive knowledge for better managerial decision-making across the PFSC during outbreaks.

This research conducts semi-structured interviews with different participants in one blockchain ecosystem to understand multiple participants' perspectives of operational excellence within PFSC.

Green, lean and six sigma (GLSS) practices are widely used and well accepted techniques that have the capability to improve the economic, social and environmental performance of Pakistani small and medium enterprises (SMEs). However, implementation of these practices in an integrated approach has not yet been witnessed in Pakistani SMEs due to a variety of challenges. To overcome the implementation challenges, this study has analyzed the impact of GLSS implementation over the sustainability in Pakistani SMEs.

This study consists of two phases. In phase 1, interviews were conducted to scrutinize the elements of GLSS implementation to simplify the model and in phase 2, a questionnaire survey was conducted to collect the data from the SMEs. The partial least squares structural equation modeling (PLS-SEM) approach is used to analyze the relationships among the latent variables and constructs.

Results showed that, leadership for GLSS, understanding GLSS techniques and technology upgradation are considered the most important elements for GLSS implementation in Pakistani SMEs. The environmental and social perspectives have been given more weightage compared to economical perspective. This inferred that there is a need to focus more on environmental and social perspectives in SMEs as compared to economic perspectives to achieve sustainable growth. Moreover, the results of the hypothesis testing revealed that GLSS implementation has a significant positive impact over the sustainability in SMEs considering the Pakistani scenario (β = 0.529, STDEV = 0.078, t = 6.81, p = < 0.001).

This study is the first of its kind for Pakistani SMEs. The structural model developed in this study for Pakistani SMEs will help practitioners to understand the important elements of GLSS implementation and sustainability dimensions.