Search results

Corporations balancing real estate holding (CRE) costs with recruitment-retention increasingly use activity-based flexible offices (AFO) to right-size environments for a mobile workforce. In this layout, workers have the option to select between a mix of unassigned workstations and alternative work settings (AWS) that support autonomy and mobility. The open layout encourages visibility and access to colleagues to enhance communication and collaboration. Nevertheless, studies into the effects of AFO environment attribute effects on worker needs and work outcome are sparse. Therefore, this study aims to focus on understanding how environmental features and psychological or job needs impact observed and perceived satisfaction, communication, collaboration and perceived productivity.

Data were collected in a case organization piloting an AFO before implementation across their CRE portfolio. A mixed-methods approach was used, including systematic observations, space syntax and surveys collecting information on the observed and perceived satisfaction, communication, collaboration and productivity.

Collaboration instances were higher in AWS, especially more visible and accessible open areas, supporting higher impromptu interactions and enhanced perceptions of productivity of team members and cross-team members. Privacy requirements linked to a greater demand for enclosed AWS. Team communication satisfaction depended on how easily teams were located. Almost half of the user teams clustered within workstation zones corresponding to territoriality needs. Job autonomy satisfaction depended on the availability of preferred workstation or AWS, enabling private, uninterrupted work that enhanced perceived productivity.

The case study findings indicated a correlation between the AFO environment and worker needs impacting workplace satisfaction, communication, collaboration and perceived productivity.

The findings form this case study indicated that a fit between the AFO environment and needs impacted workplace satisfaction, communication, collaboration and perceived productivity.

This paper aims to map the influential concepts on technology adoption in Small and Medium Enterprises (SMEs) through conducting a systematic literature review and finding a better understanding of the current body of knowledge.

A systematic literature review approach is taken here, which includes the following steps: Determination of keywords and strings, selection of databases, setting inclusion and exclusion criteria, conducting the search in chosen databases over a specific period of time. This process has led to the final count of 349 peer-reviewed articles being studied, and the results are analyzed quantitatively and qualitatively.

As a result of the study, 11 categories of influential concepts on technology adoption are identified by reviewing literature from the past decade. This article indicates how fragmented the literature is and how it concentrates on studying the impact of only a limited number of categories of concepts. The scatted frameworks (theoretical and conceptual) and weak application of the used theories found in this research also highlight the need for the development of a framework that looks into technology adoption as a dynamic process due to the dynamic nature of new technologies today.

Based on the above findings, future research avenues are to look into technology adoption from a process perspective, to dig into less researched influencing concepts such as infrastructure, regulations, strategy and resources and their role in adoption of technology in SMEs as well as development of a framework for technology adoption that is aligned with these elements.

Practitioners and policymakers will benefit from finding a helicopter view of the barriers and supporting factors throughout their technology adoption journey. The knowledge they gain from this study will better prepare them in building tools they need for adopting technology in their organizations and provide an in-depth insight to what elements can affect their journey.

This review provides an insight into the current body of knowledge on the topic, which researchers can benefit from constructing an in-depth understanding of the state of research as well as influencing concepts of technology adoption in SMEs. Moreover, it adds value in building up the knowledge of technology adoption in today's dynamic world of digitalization.

Previous research indicates that vitamin D and omega-3 co-supplementation may benefit overall health, but current evidence regarding its effects on lipid profile remains unclear. The present systematic review and meta-analysis aimed to examine the effects of vitamin D and omega-3 co-supplementation on lipid profile (total cholesterol [TC], low-density lipoprotein [LDL], triglyceride [TG] and high-density lipoprotein [HDL]) in adults.

In this systematic review and meta-analysis, relevant studies were obtained by searching the PubMed, Scopus and Web of Science databases (from inception to January 2022). Weighted mean differences and 95% confidence intervals were estimated via a random-effects model. Heterogeneity, sensitivity analysis and publication bias were reported using standard methods.

Pooled analysis of six randomized controlled trials (RCTs) revealed that vitamin D and omega-3 co-supplementation yielded significant reductions in TG (p = 0.631). A pooled analysis of five trials indicated a significant association between omega-3 and vitamin D treatment and reductions in TC (p = 0.001) and LDL (p = 0.001). Although, pooled analyses of omega-3 and vitamin D did not significantly affect HDL.

The findings suggest that vitamin D and omega-3 co-supplementation lowers TG, TC and LDL in adults. Future, large-scale, RCTs on various populations are needed to elucidate further beneficial effects of vitamin D and omega-3 co-supplementation on lipid profile and establish guidelines for clinical practice.

The purpose of this paper is to investigate the strategy-performance relationship in a multi-industry setting for joint stock firms operating in Pakistan using Miles and Snow typology. The impact of firm size and industry on performance along with strategy is also investigated. The empirical research evidence on strategy-performance relationship for Miles and Snow typology is updated as well.

Scoring methodology is applied for identification of strategic types, including the reactor strategy. The consistency of the firms over time is also checked. Seven year archived financial data of 320 Pakistani joint stock firms from 12 industries are used for analysis. Descriptive statistics and analysis of variance is used for analysis.

Hybrid strategies are practiced by firms rather than pure strategies. The distribution of strategic types is uneven. There are mixed results for performance difference among strategic types for different industries and firm size. Defending and analyzing strategies are better than the prospecting strategies. Reactors performed better in some industries as well.

Proposed scoring methodology can be applied to identify all strategic types including reactors in the longitudinal studies. This can be replicated for other typologies or strategic group classifications. The process for identification of reactor strategy through a consistency check is a unique contribution to the literature, especially when archived financial data are used.

This study seeks to build a conceptual model of agricultural extension intrapreneurship that discusses the concept and phenomenon of intrapreneurship as well as its prerequisites and outcomes. The proposed model is intended to depict the main factors that affect the phenomena of intrapreneurship within the agricultural extension organizations and the impact of intrapreneurship on agricultural extension organizational outcomes, as well as factors influencing its continuous outcomes.

The paper identifies and describes the existence and past literature on prerequisites, phenomena and outcomes of intrapreneurship in organizations as a basis for analysis and developing an appropriate model of agricultural extension intrapreneurship. This is a conceptual paper selecting targeted scholarly works that provide support for the proposed model.

The paper presents a model of Iranian agricultural extension in which the organizational, behavioral and environmental factors influence intrapreneurship and the construct of intrapreneurship influences organizational outcomes. The paper provides a comprehensive analysis that develops an existing model for a systematic approach to the agricultural extension intrapreneurial process. The proposed model of agricultural extension intrapreneurship joins a growing number of works that explore how intrapreneurship contributes to organizational outcomes in an Iranian agricultural extension organization. It is suggested that the framework may help scholars identify potential strategies of intrapreneurial activity that could help extension organization position intrapreneurship as a vehicle for improving organizational outcomes.

Based on this exploration, new insights about agricultural extension intrapreneurship are developed, practical implications for agricultural extension intrapreneurs on how to approach agricultural extension entrepreneurship more systematically and effectively are presented and opportunities for further research are identified.

This study aims to examine the value of the call option contract in hedging the risks in the supply chain. The decentralized supply chain without call option contract is first studied as the criterion model for evaluations. This paper addresses several questions: What will be the optimal manufacturer’s production quantity, retailer’s ordering and pricing policies in the presence of random demand and random yield by applying the downconversion approach? How will the call option contract influence the optimal decisions for the members of the supply chain? Can the risk from randomness be divided among the members in the supply chain through the call option contract?

This paper considers a two-level decentralized supply chain under random yield and random demand in which the manufacturer takes advantage of the downconversion approach with two scenarios, with and without option contract. To the best of the authors’ knowledge, no article or study uses the downconversion approach in a supply chain regarding random yield and random demand. Furthermore, the paper considers pricing with option contract in the supply chain, which makes this article stands out significantly from other articles in the literature.

This study shows that the downconversion approach would reduce the risk caused by the random yield, which appears to be the appropriate method for the environmental goal of the supply chains. Moreover, adopting a call option contract can increase flexibility and mitigate risks, resulting in more expected members’ profits.

To simplify the model, the authors assume one manufacturer and one retailer, so extending the model to consider multiple retailers instead of one retailer and inventory sharing between them would be interesting. Considering the option and exercise prices as decision variables would be important future research topics. Put option and bidirectional option contracts could be investigated in the future. Another extension is modeling asymmetry of information in supply chain.

This paper provides managerial insights on dealing with both demand and yield risks in a manufacturer–retailer supply chain. The manufacturer has a random yield production and produces two types of vertical products: low-end and high-end. To reduce waste caused by the random yield, the manufacturer uses a downconversion approach in which low-end products are made by converting the defective high-end products. The manufacturer purchased a shortage of high-end products from the secondary market (i.e. emergency sourcing). High-end products are sold through the retailer, and low-end products are sold directly by the manufacturer. The customer demand for high-end products in the end market is random and depends on the selling price, and the customer demand for the low-end products in the secondary market is independent and random. The retailer contracts the manufacturer with the call option to obtain high-end products to meet a random demand; in fact, by using the call option contract, the authors try to balance the risks between two members. Two scenarios of with and without call option contract are proposed. After the high-end product demand is observed, the retailer would exercise the option order quantity in the call option contract scenario and then place an instant order with the manufacturer if necessary. In each scenario, the manufacturer and the retailer make their decisions simultaneously (static game) to determine the retailer’s optimal ordering and pricing policies and the optimal production quantity of the manufacturer (Nash equilibrium) by maximizing their expected profits. Finally, the impact of the model parameters on the supply chain is expressed through numerical examples. The numerical analysis shows that the call option contract provides greater profit than the wholesale price contract.

During the Covid-19 outbreak, universities around the globe were closed or went online due to lockdowns implemented to curb the pandemic's spread. This study aims to examine the changes in Malaysian academics' job and life satisfaction during a testing four-month period, from the beginning of the first Covid-19 lockdown until two months after it ended. It also assesses the impact of affective states and age group on these two constructs.

In this longitudinal study, the authors collected data from 220 academics in Malaysia at three time points in 2020, namely the beginning of the lockdown (April), the end of the lockdown (June) and two months after the lockdown (August). The authors applied multivariate latent growth curve (LGC) modeling to study changes in job satisfaction and life satisfaction. In addition, we added age group, as a time-invariant covariate, as well as positive and negative affect, as two time-varying covariates, to our LGC model. The authors estimated the LGC model using the EQS 6.4 statistical package.

The results show that both job and life satisfaction were stable over time, although their means were below the average. Positive affect was a significant predictor of both types of satisfaction, and age group was a significant predictor of job satisfaction.

The main implication the authors draw from this study is connected to job and life satisfaction's mean values being below average. In line with the affective events theory (AET), the authors recommend paying particular attention to work environment features, such as providing sufficient infrastructure for employees working from home and keeping social relations intact. Especially young academics should receive sufficient support.

The study is one of a limited number that examined longitudinal effects during the Covid-19 pandemic in the domains of human resource management and organizational behavior. Hence, this study expands our knowledge of employees' affect and attitudes during an unprecedented global health crisis, particularly in the under-researched area of the Malaysian higher education sector.

This study, drawing upon affective events theory (AET), examines the relationships between work environment features, work events, affective states and attitudes in the Malaysian academic environment. Specifically, the authors examine the impact of supervisory support and welfare on role conflict, the impact of role conflict on affective states and the impact of affective states on job satisfaction using data collected from the international faculty.

The authors collected data from 152 respondents through an online platform, and given this study's causal predictive-explanatory nature, the authors apply partial least squares structural equation modeling (PLS-SEM) for data analysis. In addition, the authors complement their analysis by examining the nonlinear effects within the model as a robustness check.

From an explanatory perspective, the authors find support for all the hypotheses, implying the applicability of AET in academic contexts. Regarding the predictive perspective, the authors’ model exhibits a high out-of-sample predictive power. Importantly, the robustness check provides additional support for their model.

Given that the international faculty comes from different countries, the authors’ findings suggest that university managers should formulate and implement policies, which encourage and celebrate cultural diversity to increase the international faculty's job satisfaction. Additionally, policies that improve the process of job designs and descriptions need amendments in a way that reduces the role conflict faced by the multicultural faculty which, in turn, leads to negative affect and ultimately to job dissatisfaction.

This article is one of the first research studies focusing on the verification of AET in the context of international higher education. The authors apply the recent evaluative guidelines for a solid and rigorous PLS-SEM analysis and prove that the wandering scholars' emotions matter in achieving desirable organizational outcomes in cross-cultural institutions of higher learning.

The extant literature has challenged the original idea that pure strategy leads to superior performance. This shift has raised the question whether pure strategy is still superior to hybrid strategy? The purpose of this paper is to investigate the strategy-performance relationship in this context and the performance of pure, hybrid, and reactor strategies is compared.

Scoring method is used for identification of strategic types. ANOVA, univariate, and multivariate regression models are applied for empirical analysis using seven-year financial data of 307 Pakistani joint stock firms from 12 industries.

The results show that firms in Pakistan practice hybrid and reactor strategies rather than pure strategies. Overall, defending and analyzing strategies perform better than the prospecting strategies. However, the performance of the strategic types varies among industries and firm size. Strategy and firm size are the better predictors of firm performance.

The proposed methodology can be replicated to identify strategic groups and strategic orientations proposed by typological classifications when longitudinal studies are carried out. The process for identification of pure, hybrid, flexible, consistent, and reactor strategies is a key contribution to the literature.

To cope with the existing pandemic situation and to be organizationally responsive, firms need to be strategically flexible, where they need to develop dynamic capabilities (DCs) by continuously reconfiguring their resource base. To address such challenges, firms heavily rely on information and communication technologies (ICT) because of advancement in disruptive technologies. This study aims to explore techniques used by higher education institutional (HEI) leaders to successfully address challenges posed by global disruption, i.e. COVID-19 with the help of advanced ICT software such as Zoom, Google Meet and Microsoft Teams.

A qualitative approach was adopted to explore strategic factors such as strategic flexibility (SF) and DC that disclose shortcomings in the current extant literature. A total of 15 interviews were conducted with heads of departments of HEIs in the United Arab Emirates. Data were analyzed using NVivo software.

The findings suggested three dimensions of SF (resources, operational and collaborative) and four dimensions of DC (strategic planning, innovative, adaptability and technological) for firms to adopt to be strategically flexible, where DC serves as building blocks of SF.

This research provides a framework as an avenue for future researchers and practitioners on how to strategically manage their resources and be strategically flexible in turbulent environment such as pandemics. Theory-based investigations on strategic capabilities and DC from resource-based perspective are still under-researched, emphasizing the need for theoretically based research on strategic responsiveness, especially during the times of environmental complexities such as COVID-19 pandemics. This research enriches strategic management research by exploring the important antecedents of organizational responsiveness, including SF and DC together with the support of human factor, i.e. leadership qualities of HEIs managers. This study, to the best of the authors’ knowledge, is among the first to systematically explore main dimensions of DC and SF based on the resource-based theory of strategic management in the Middle Eastern context.