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This study aims to explore the determinants of engagement with and of stakeholders in corporate social responsibility (CSR) decision-making.

Using stakeholder theory, this study is mainly based on business ethics and CSR literature to develop a model depicting social and organizational contextual factors for engagement in the context of CSR decision-making.

This study identifies nine antecedents for engagement with and of stakeholders in CSR decision-making. Based on stakeholder perspective, the author explores how engagement constructs are influenced at both social and organizational levels by the determinants stakeholder pressure, stakeholder roles, stakeholder resources, stakeholder relationships, stakeholder management, two-way communication, procedural justice, interactional justice and stakeholder proactive strategy.

This study provides insights for companies regarding the determinants underlying engagement to reflect its importance in the context of CSR decision-making.

A better understanding of the determinants of engagement is critical because engagement contributes to achieving “win-win” solutions that ensure increased stakeholder satisfaction.

To the best of the author’s knowledge, this paper is one of the first to explore the determinants of engagement with and of stakeholders in CSR decision-making at both social and organizational levels by referring to stakeholder theory.

The construction industry is complex, human-intensive and driven by monetary values. Hence, disputes are widespread. Initial conflicts among parties may develop into a disastrous dispute that costs the project success and good relationships and affects stakeholders' expectations. There has been a focus on causes of construction-related disputes, and studies over the past three decades have attempted to identify a more comprehensive list of reasons for disputes. Some of these studies' limitations were geographical, project delivery methods and project types. The purpose of this study is to identify the most recent and conclusive list of causes of disputes based on current literature by undertaking a systematic literature review (SLR).

Considering the large number of studies that focused on causes of disputes, this study aims to develop a comprehensive list of causes, using a SLR, as it ensures that all previous articles in multiple databases are reviewed to produce a comprehensive outcome. A six-stage SLR was followed from background study to analysis and reporting.

Not surprisingly, the number of publications has increased over time, most from the Middle East region. The interconnected nature of the causes was widely emphasised. The SLR has produced eight common core causes of disputes. They are: poor contractual arrangements, employer-initiated scope changes, unforeseen site changes, poor contract understanding and administration, contractor’s quality of works, the inability of the contractor to achieve time targets, non- or delayed payments and poor quality of design. The majority of previous authors realised that disputes could be avoided by parties’ involvement during the early stages, avoiding being opportunistic and acting collaboratively.

Even though numerous studies have been carried out to identify the causes of disputes in the construction industry, none did a SLR. This study aggregates all the previous studies that focused on construction-related disputes systematically. Categorising causes based on the party primarily responsible help various stakeholders by providing a distinct list of factors to avoid that contribute to disputes.

This paper aims to devise a case-controlled method combined with Bradford Hill criteria for causal inference of contractual disputes in construction projects. It is a genuine attempt in a systematic method from research design to execution for causal issues where only observational data is available.

The authors located insufficient top management support as the putative pathogen of construction disputes based on a literature review, an interview and Delphi surveys. A questionnaire survey was then conducted to collect case-controlled data to ensure comparability, in which for each disputed project put in the experimental group, the authors sought for a dispute-free project of similar characteristics. The incidence rates of insufficient top management support in the experimental and control groups were then examined by Bradford Hill criteria as an alternative to the test of intervention effect.

The association of insufficient top management support and construction disputes was tested to conform with the Bradford Hill criteria with case-controlled data where applicable and logical deduction where statistical tests were not applicable. With a clear, positive, reasonable and statistically significant association, while excluding methodological biases, confounding and chance, the authors reached a causal verdict of insufficient top management support causing contractual disputes.

This paper supports the validity of applying a case-controlled method combined with Bradford Hill criteria in investigating causal issues in project management, especially the verdict of causal inference based on empirical data. In addition, the located root cause of contractual disputes could inform project management personnel with reasoned strategies for dispute avoidance.

The purpose of this study is to investigate the impact of COVID-19 on conventional and Islamic stocks by using the data spanning from February 25, 2020, to February 3, 2021, and employing a panel regression approach.

In this study a panel regression approach has been used.

The study finds a negative association between COVID-19 and stock (both Islamic and conventional). After splitting the data into 1st and 2nd waves, the relationship between COVID-19 and stock (both Islamic and conventional) remains the same (negative) in the case of the 1st wave. In contrast, in the case of the 2nd wave, the relationship turned out to be positive. During both waves of the pandemic, the magnitude of the effect is found to be higher for conventional stocks. Additionally, the study also analyzes the aggregate influence of COVID-19 on different sectors and finds that commercial banks, oil and gas exploration and marketing companies are the most influenced sectors. At the same time, automobiles and pharma are the least affected sectors.

The study suggests that markets start gaining momentum to reach their prepandemic level after absorbing the initial shock (emergence of a pandemic). The study also provides thorough insights for market regulators and policymakers by implying the dynamic relations between markets (conventional and Islamic) and financial crisis, which would allow them more effective control of crisis in future endeavors.

This is one of the first studies to investigate the impact of COVID-19 on both conventional and Islamic stocks, especially in the context of Pakistan.

The purpose of this study was threefold: to trace the extent to which digital transformation strategies are being implemented in organizations; to statistically measure, validate, predict and examine how digital leaders perceive a synthesized digital transformation model (DTM); and to explore whether leaders with different demographic characteristics perceive the DTM similarly.

The study authors surveyed 778 leaders/managers from the United Arab Emirates (UAE) to assess the synthetized DTM consisting of four dimensions and nine perception constructs that represent how leaders manage employees in a digital environment. The survey questions were adapted from the 2014 Westerman leading digital book published in Harvard business press.

The general findings revealed that UAE organizations that were already in the digital transformation stage before COVID-19 reacted and responded extremely quickly to speed up the implementation of their respective digital transformation strategies. We concluded that our proposed and synthetized DTM is valid and predictable, and can be adapted to trace the stages of digital transformation by leaders. A positive relationship was found between the DTM’s four dimensions and their related constructs as perceived by the leaders, regardless of differences in their demographic characteristics.

The synthesized digital transformation model is unique in that the authors believe there is no other research that purports to synthesize, validate and correlate using the digital transformation campus dimensions and its related constructs, reflecting leaders' perceptions toward adopting this campus. As well, this is the first UAE study to explore and compare the perspectives of leaders on their digital practices after COVID-19 in a country that has an established IT infrastructure.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.

This study aims to explore the influence of science fiction on innovators and present a comprehensive model using the theory of planned behavior and social support theory to discuss the impact of science fiction on the intention of becoming an innovation worker.

Partial least squares structural equation modeling (PLS-SEM) was adopted in this study and responses were obtained from 244 Chinese innovators.

The results revealed the adequacy of the proposed model and the above-mentioned constructs in explaining innovation intention. Science fiction perception was found to influence the intention of becoming an innovation worker directly. Subjective norm, perceived behavioral control, and attitude directly influence the intention of becoming an innovation worker. Additionally, attitude is a mediator between science fiction perception and the intention of becoming an innovation worker. Moreover, social support network moderates the relationship between attitude and intention.

These results shed light on the mechanism by which science fiction influence innovators as well as provide critical managerial implications for policymakers and practitioners.

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

The logistics industry has undergone a tremendous transformation. This transformation is necessary to cope with the fundamental changes in customer expectations and the need for digitalization imposed by the pandemic, changes in the socioeconomic world, and innovative technology solutions. This paper aims to present digital transformation as an integrated framework for transforming the operating model and applying advanced solutions to the ecosystem of a quintile logistics (5PL) company. 5PL operators are typically an ecosystem. Loosely coupled or self-organized entities that collaborate in a symbiotic relationship represent this ecosystem. They aim to jointly develop capabilities, create innovative services or solutions, share knowledge, facilitate transactions, and leverage network synergies in a logistics environment to provide optimized or novel customer- or partner-centric solutions (Lamberjohann and Otto, 2020).

Currently, there is no single definition of an integrated logistics operations model in 5PL practice, so the qualitative method used in this paper allows for investigation from an exploratory perspective. The paper follows a qualitative research methodology, collecting and analyzing data/facts through interviews and visits to subject matter experts, industry practitioners, and academic researchers, combined with an extensive review of academic publications, industry reports, and written and media content from established organizations in the marketplace. This paper follows a qualitative research methodology, as it is an inquiry rather than a statistical study. The qualitative method allows the study of the concepts of phenomena and definitions, their characteristics, and the defining features that serve as the basis (Berg, 2007). It emphasizes generalized interpretation and deeper understanding of concepts, which would be more difficult in quantitative, statistically based research. Fact-finding was conducted in two ways: in-depth interviews with experts from academia, information and communication technology organizations, and key players in the logistics industry; and academic publications, industry reports, and written and media content from established national and international organizations in the market.

The operations model introduced considers six aspects: persons, processes, platforms, partners, protection and preservation. A virtual team approach can support the personal side of the 5PL ecosystem’s digital transformation. Managing a 5PL ecosystem should be based on collaborative planning, forecasting, and replenishment methods (Parsa et al., 2020). A digital platform can support trust among the stakeholders in the ecosystem. A blockchain solution can powerfully support the 5PL ecosystem from partner relationships’ points of view. The implementation of a cybersecurity reference model is important for protection (Bandari, 2023). Reverse logistics and an integrated approach support the preservation of the ecosystem.

While the author has experience applying the different components of the operations model presented, it would be interesting to find a 5PL that would use all the components presented in an integrated way. The operations model presented applies to any similar ecosystem with minor adaptations.

This paper addresses operations models and digital transformation challenges for optimizing 5PL operators. It provides several opportunities and considerations for 5PL operators interested in improving their management and operations to cope with the growing challenges of today’s world.

The competitiveness and long-term performance of 5PL operators depend on selecting and carefully implementing their operations models. This paper emphasizes the importance of using advanced operations models.

The operations model derives from the author’s personal experiences in research and the innovative application of these models to logistics operators (DHL, UPS, Poste Italiane and others). This paper brings together academic and industry perspectives and operations models in an integrated business digital transformation. This paper defines an original optimal operations model for a 5PL operator and can add sustainable value to organizations and society. In doing so, it outlines different solution requirements, the critical success factors and the challenges for solutions and brings logistical performance objectives when implementing a digital business transformation.

The current study evaluates the success of this project at the local scale by examining the degree of compliance with local sustainability indicators after the revival of the Zanjan Match Factory. Hence, the purpose of this article is to evaluate the prosperity of the Zanjan match factory monument restoration project in achieving local sustainability. The study intention of prosperity implies any action, achievement or positive outcome that contributes to informed decision-making and leads to sustainable neighborhood development.

The current research is applied research in terms of purpose and descriptive-analytical, and survey-field in terms of method. The criteria evaluated in this research include criteria as follows: (1) evaluation of protection and preservation of the building, (2) success of the new function and (3) sustainable local development, which are defined items for each criterion. The questions of the questionnaire are prepared according to the Likert 5 points spectrum, the value of which is answered between 1 and 5 and the hierarchy goes from “very good” to “very poor”. The Cronbach's alpha coefficient obtained for the validity of the questionnaire questions is 0.85, which indicates the appropriate validity of the questionnaire questions.

The study findings indicate that the applied criteria are at an acceptable level since the criterion of sustainable local development and architecture have obtained the scores of 4 and the new function criterion scores of 3. Field surveys and observations of changes made in the neighborhood including the construction of a thoroughfare, commercial complex, service complex and local parks verify the validity of the findings. The results of the proposed study indicate that adaptive reuse projects should not be taken into account as individual projects since an individual building can be a catalyst for the restoration of other buildings and contribute to the transformation of the whole area by affecting the surrounding environment.

Adaptive reuse of building assets is an important approach to sustainability that can be utilized in conserving and preserving industrial heritage buildings was described in this paper. An adaptive reuse project follows three aims of cultural and historical heritage conservation, the success of the new performance and the development of local communities and a successful project appropriately balances these three goals.