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Post-occupancy evaluation (POE) of office buildings, accommodating large number of users, is significantly demanded, to ascertain the provision and upkeep of users' requirements. This paper presents the findings of a POE of an office building located in Saudi Arabia, as a case study.

A mixed approach of qualitative and quantitative research activities were conducted to achieve the objective of this study. Previous studies were analyzed to identify 28 performance indicators, grouped under seven technical and functional performance elements in office buildings. A walkthrough served to gain familiarity with the building, and identify the obvious performance defects. Interviews were conducted to solicit the users' perceptions about the performance elements, and initiate discussions based on the findings of the walkthrough. A user satisfaction survey was then deployed to quantify the user's feedback on the performance of the building.

Users of the case study office building were generally satisfied with all the technical performance elements, except visual comfort. They were also dissatisfied with two functional performance elements, namely office layout and building equipment.

Recommendations were developed to improve the performance of the case study building. The approach followed and the defined indicators can be of practical value to design professionals, administrators and facilities managers, responsible for the design and operation of office buildings.

Office buildings are valuable business capital for their corporate organizations. This study contributes to the facilities management literature, through providing a systematic approach for the quality and performance appraisal of the performance elements of office buildings.

This study investigates which factors are conducive to individual job performance in large-scale work from home (WFH) arrangements that rely on the current generation of technology, such as information and communications platforms.

The researchers proposed a research model based on research on WFH arrangements. The model was tested based on a survey of 1,183 respondents who engaged in large-scale WFH arrangements during an extensive national COVID-19 lockdown.

The proposed research model explains 41% of the variance in individual job performance in WFH arrangements. The findings show that the strongest positive predictors for job performance are home office quality and the reach and communication quality of information and communications platforms. A sense of professional isolation was found to have a negative impact.

This study is based on a unique situation of large-scale mandatory WFH arrangements that are comparable to a natural experiment, and it is one of the first studies to conduct an extensive exploration of WFH that relies on the current generation of digital technology.

How does the regional institutional environment of China’s transitional economy influence the relationship between a firm’s R&D investment intensity and innovation performance? Based on the resource-based view and institution-based view, an empirical study was executed to identify the moderating effects of institutional environment variables from the Marketization Index of China’s Provinces: National Economic Research Institute (NERI) Report on the relationship between a firm’s R&D investment intensity and innovation performance. This paper aims to study how effectively improve the impact of R&D investment intensity on innovation performance under the influence of the institutional environment.

Against the background of China’s transitional economy, the authors present empirical evidence from panel data covering 374 Chinese A-share listed high-tech manufacturing firms on the Shanghai and Shenzhen Stock Exchange to examine the relationship between R&D investment intensity and innovation performance.

Empirical results illustrate the following: The R&D investment intensity and innovation performance displayed an inverse U-shaped relationship, and R&D investment intensity had a lagged effect on R&D output according to the uncertainty and industrialization period of R&D activities. The level of financial market development can intensify the effects of R&D investment intensity on innovation performance. The degree of government intervention weakens the effect of R&D investment intensity on innovation performance.

Based on the background of China’s institutional environment during the transition period, combined with previous research and the Marketization Index of China’s Provinces: NERI Report, selecting financial market development, government intervention level and legalization level as moderating variables to study how effectively improve the impact of R&D investment intensity on innovation performance under the influence of the institutional environment. Due to the different ownership of firms during the transition period, the appropriate impact of the institutional environment on the relationship between R&D investment intensity and innovation performance will vary. Moreover, the level of legalization would impact on innovation insignificantly.

The data has been provided by the protagonist in the form of interviews, tables and figures.

Abdul and his team, comprising MS Finance graduates from Lahore University of Management Sciences, embarked on a transformative process that led to the inception of their startup, Ingine. Originating from a discarded idea of importing recycling machines, the team pivoted to address a significant gap in the influencer marketing industry. They envisioned a subscription-based software-as-a-service platform that streamlines interactions between influencers and businesses, emphasizing secure payment processing, messaging and feedback features. The narrative underscores the intricate connection between influencer marketing and the return on investment for small businesses, recognizing the challenge of decoding tangible financial gains. Ingine’s mission is to unravel this puzzle, optimizing small businesses’ investments in influencer marketing while navigating the complexities of crafting a competitive influencer compensation model. The team’s background, strategic considerations and commitment to fostering sustainable relationships between influencers and businesses serve as a compelling backdrop to Ingine’s entrepreneurial aspirations.

The case can be used in entrepreneurship and entrepreneurial finance. The case can be used in undergrad, master’s, MBA, executive MBA and short executive programs. The complexity of a case can be increased or decreased depending on the level of class, i.e. start, middle or end of the course, and the time allocation, i.e. 90 min.

Asymmetric cost information exists between a supplier and a manufacturer regarding the manufacturer's process innovation for remanufacturing (PIR), which may hurt the supplier's profit. The authors therefore seek to develop a menu of nonlinear pricing contracts for channel information sharing.

Based on principal–agent theory, the supplier, acting as a Stackelberg leader, designs a menu of nonlinear pricing contracts to impel the manufacturer to disclose its private cost information on PIR (i.e. PIR efficiency). In addition, the authors compare the equilibrium outcomes under asymmetric and symmetric information to examine the effects of asymmetric PIR information on the production policies and profits of the supplier and the manufacturer.

The proposed contract menu encourages th4e manufacturer to spontaneously share PIR efficiency information with the supplier. Asymmetric PIR information may distort the output of new products upward or downward, but the output of remanufactured products may only be distorted downward. In addition, the manufacturer with high PIR efficiency gains information rent, and interestingly, the increase in the probability of low PIR efficiency amplifies its information rent. Finally, an asymmetric information environment may increase the threshold for the manufacturer to enter remanufacturing.

The authors probe the issue of the supplier's contract design by jointly considering remanufacturing, process innovation and information asymmetry. The paper expands the influencing mechanism of process innovation information in the remanufacturing field. The authors also observe new results that may offer guidance to decision makers.

This paper explores the patterns of the current needs of users' social characteristics in post occupancy evaluation (POE) associated with the environmental performance of green buildings using systematic literature review (SLR). This paper aims to establish a conceptual nexus between environmental performance mandates and the current needs of the users' social characteristics.

This paper adopts a SLR approach designed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses for 21 articles that were selected as qualitative synthesis in this study. The search parameter for the selected articles in this review was limited to publications in three databases, Scopus, Web of Science and Emerald, between January 2016 and January 2023, with the help of qualitative software ATLAS.ti 9© in the presentation of the network codes. The initial literature search has retrieved 99 papers which sequentially excluded 42 papers due to exclusion criteria, and the researcher was left with 57 papers. Out of 57, 14 papers were then removed due to duplication of records found in the Scopus and Web of Science databases, and 43 articles were further screened for qualitative synthesis. A thorough critical appraisal was applied to ensure that only selected papers were included, consensus was achieved among the authors and 22 papers were excluded. The qualitative synthesis has finalized 21 studies, and they are selected as confirmative findings.

Using network codes presentation of ATLAS.ti 9©, the result shows that the social characteristics are influenced by the evaluated building category and the users' category – the stakeholders (owners, designers) and the occupants. New-fangled elements in environmental performance mandates are legitimacy and accessibility. The users’ social characteristics are derived from the category of users, where the stakeholders (designers, owners) are relatively a novel benchmark in meeting the POE objectives towards environmental performance. The least attention on the users’ social characteristics based on the findings shows that image, experiential (conjoint), happiness, interactive behaviour, morale and values are depicted as the social current needs in the environmental performance using POE. However, all stakeholders and the building occupants’ social characteristics must have a confirmative relation to the performance mandates, especially for newly performance mandates elements: legitimacy and accessibility.

The research limits the literature search between the recent January 2016 and January 2023 in Scopus, Web of Science and Emerald databases. Limiting the year of publication to the recent years is important to select and rank relevant scientific papers which encompass the reviewed subject. Other limitations include the selection of papers focusing on the POE approach and environmental performance as the main subject of evaluation. Other evaluation purposes that are not related to environmental objectives are excluded in this study.

The characteristics of the social elements become a challenging subject in meeting the environmental performance needs as they lean more towards intangible elements. The novelty of the findings is drawn from the new pattern and current needs of users' social characteristics in POE for environmental performance.

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.

This study aims to explore the role of the green market (GM) and green innovation (GI) towards green entrepreneurship (GE) and sustainable development (SD).

Based on cross-sectional data, the researchers used quantitative methods in this study to confirm the conceptual framework. The researchers used a questionnaire to collect the data obtained from Pakistan's knowledge-based companies (KBCs). In total, the researchers used 192 usable samples to deliver the findings.

The researchers used structural equation modeling (SEM) to ensure the model's fitness and as a basis for this study's hypotheses. The findings highlight that the GM factors, such as green product (GP), green design (GD), green supply chain (GSC) and green production (GPN) have a positive and significant effect GM factors, such as on both GE and SD. Further, GI is, also, a significant predictor of GE and SD. Finally, this study's findings show that GE has a predictive role of towards SD.

This study's findings create a source of attention for individuals to preserve the GM's natural resources. Further, mainly in developing contexts like Pakistan, the addition of the GI factor and the GM towards GE and SD contribute to the depth of the existing literature.

By integrating factors, such as innovation toward GE and SD, this study's findings provide an original contribution to the empirical evidence.

This paper explains the mechanisms underlying the generation of two-way knowledge spillovers through the interaction of subsidiaries with differentiated local responsibilities and domestic firms.

The study is based on firm-level panel data from a census of Colombian manufacturing firms for the period 2003–2012. The estimation procedure involves two stages. In the first one, total factor productivity (TFP) of foreign and domestic firms is estimated. In a second step, we estimate conventional spillovers (from foreign-owned to local firms) and reverse spillovers (from local to foreign-owned firms) separately, using a random effect approach.

This study’s findings reveal that only locally creative subsidiaries enjoy positive and significant two-way knowledge spillover effects. The connectivity of subsidiaries to local and international networks is reinforced by reciprocal relationships among actors that enhance bidirectional knowledge flows, these being favored by the dynamics of clustering effects.

The paper contributes with new empirical evidence about the mechanism explaining how the technological heterogeneity of subsidiaries plays a determinant role in the generation of both knowledge flows from foreign to domestic firms and to the reverse, all integrated into the same framework.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.