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The tourism multiplier effect (TME) is the total economic impact of tourism demand, representing the linkages between tourism and other businesses in an area. However, study about it is limited in Indonesia, especially at the provincial level and after the COVID-19 crisis. This study aims to estimate the TME in all provinces of Indonesia, test its differences in priority and non-priority areas before and after the COVID-19 crisis, analyze its spatial distribution and examine the determinant factor of TME

This study applies an input-output model to measure the TME of all provinces in Indonesia, an independent sample t-test to examine the similarity of TME in priority and nonpriority areas, a paired sample t-test to examine the similarity of it before and after the COVID-19 crisis, and spatial analysis to check its spatial relationship.

The result shows that regional TME ranges from 1.25 to 2.05 in 2019, which changed slightly over time. The empirical result shows the TME difference before and after the COVID-19 crisis, and there is a spatial correlation in terms of TME with the hot spots are clustered in the eastern region of Indonesia, However, there was a slight change in the position of hot spots during the COVID-19 crisis. Moreover, the spatial model shows that value-added and employment in agriculture, manufacturing, trade and transportation affect the size of TME.

This study contributes to the academic literature by providing the first estimate of the TME at the provincial level in Indonesia, comparing the it in priority and non-priority areas before and after the COVID-19 crisis, and mapping its spatial distribution.

This study aims to investigate the strategic priorities of green building projects and analyze energy consumption alternatives in green residence projects using two innovative methods.

This study uses two methods, decision-making trial and evaluation laboratory (DEMATEL) to measure strategic priorities and golden-cut quantum spherical fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) to analyze energy consumption alternatives.

The study reveals that sustainability and atmosphere are the most significant factors in determining the priorities of green residence projects, whereas innovation has a limited impact on addressing environmental challenges in the building sector. The ranking of energy use alternatives shows that sustainability issues and atmosphere quality of space heating and cooking are the top priorities, whereas other factors like white goods, water heating, lighting and space cooling are ranked lower.

This paper offers a significant contribution to the understanding of green buildings by introducing innovative methodological approaches. Theoretically, it uses the DEMATEL to enhance traditional analytical frameworks, marking a novel effort in understanding green residence projects. In addition, the golden-cut quantum spherical fuzzy TOPSIS method is introduced, offering a comprehensive decision-making framework for green projects, considering factors like energy consumption and economic feasibility. This combination of methodologies provides a holistic evaluation, emphasizing sustainability in green building construction. This study reveals untapped potential for environmental sustainability and energy efficiency, enriching the existing knowledge base.

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the supply chain-, product- and process-design factors for small-series production in EU’s textile and apparel industry, to understand configuration decisions, priorities and challenges.

An interview study was undertaken with ten companies that represent diverse small-series production models and value chain roles. Interview data was analysed to identify supply network configuration characteristics, decision priorities and challenges.

Three small-series production models emerged from the analysis, differing with respect to adoption of process postponement and customization. The findings confirm and extend past research regarding diverse decision priorities and product, process, supply chain structure/relationship configurations. Challenges identified relate to planning (priorities) and implementation (configuration). Whereas competence availability and digital technology challenges are common, several difficulties are linked to production model like tensions related to priorities and small volumes, which are not found with customization.

Future research can make comparisons with other industry and location contexts; adopt dynamic approaches to distinguish between design and reconfiguration processes; and address indicated paradoxical-tensions.

The study findings can provide guidance for companies regarding identification of priorities and management of (planning/implementation) challenges impacting small-series production in T&A.

The paper brings a configuration perspective at the supply chain level to the problem of small-series production implementation, which demands holistic and context-specific understanding.

This study aims to investigate how an individual’s perception of team goal priority can be affected by personal interaction, with co-worker support mediating the influence and communities of practice moderating the indirect effect of co-worker support.

Responses from 235 respondents working in private and public manufacturing and service enterprises in India collected through a structured questionnaire were statistically analysed using confirmatory factor analysis, structural equation modelling and PROCESS Macro with random bootstrap resample.

Findings showed a positive relationship between personal interaction and the perception of individuals about team goal priority that was partially mediated by co-worker support. Communities of practice moderated the influence of personal interaction on co-worker support and the conditional indirect effect of personal interaction on the perception of team goal priority.

The results highlight the need for greater employee collaboration towards prioritizing team goals, thus showing a psychologically collectivist attitude. Policies and procedures to create and sustain organization-level communities of practice with employees across departments and hierarchies can also be helpful. Emphasizing the social exchange perspective, the authors recommend improving the overall work climate of any organization.

This paper explains the motivating source of personal interactions and co-worker support for prioritizing team goals in an organization. Establishing the moderating role of communities of practice, the authors have confirmed the role of a social learning system in prioritizing team goals.

The goal of this study was to understand which employee-focused workplace practices and priorities – more formally known as human resource (HR) practices and priorities – employees with mental health and/or addiction challenges (MHAC) valued and how they perceived the day-to-day implementation of those practices and priorities in the workplace integration social enterprises (WISEs) that employed them.

Twenty-two WISE workers who self-identified as having serious MHAC participated in semi-structured interviews. Interviews were transcribed and coded to identify ways that employees did or did not feel supported in their WISEs.

Participants identified three HR practices and two HR priorities as important to establishing an inclusive workplace that accommodated their MHAC. The extent to which individual participants felt included and accommodated, however, was shaped by interactions with their supervisors and coworkers.

By evaluating the salience of WISEs’ employee-focused workplace practices and priorities through the lens of the employees themselves, our study articulates the critical role that interactions with coworkers and supervisors have in determining whether HR practices and priorities have the intended effect on worker experience.

Green Sukuk (GS) is a recent innovation that has the potential to serve humankind in sustainable development. However, its potential can only be achieved if the proceeds of GS are used for the priority areas needed. Therefore, the purpose of this study is to find out, using selected GS issued to determine whether the proceeds of GS are actually given to the needed areas.

This is qualitative research utilizing case studies where the “priorities given” areas are observed through information collected from the library that consists of primary and secondary sources, such as statutes, books, articles and internet sources, while “priorities needed to issue GS” areas are determined through information collected from Al-Quran and Hadiths to derive conclusions.

The outcome of this study reveals some untouched areas that needed immediate attention where GS can be implemented. This study recommends implementing GS for the plant, agriculture, forests, road, water, animal and others. One example in this regard is to create “forest sukuk,” which is a tool for financing forest preservation.

It is anticipated that, via the outcome of this research, GS issuance frameworks can be enhanced, especially in revising the areas in which Sukuk proceeds can be used, and it will provide guidance to the potential GS issuers to choose financing projects.

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

This paper aims to contribute to existing academic work and business practice by presenting original empirical findings and by providing insights into priority setting on Sustainable Development Goals (SDGs) in organizations. From an academic viewpoint, it not only adds to previous work on the topic of SDG materiality (e.g. Van Tulder and Lucht, 2019) but also aims to contribute new insights into the steps that are crucial and influence the adoption of the SDGs in materiality assessments. It may also add to the literature by providing new knowledge on the strategic considerations that organizations may make and institutional dynamics that encourage organizations to implement the SDG materiality method.

By executing a national survey research in Belgium through a collaboration between academics of Antwerp Management School, Louvain School of Management (UCLouvain) and the University of Antwerp, and supported by Belgium’s Federal Institute of Sustainable Development, the authors have obtained several insights into the SDG landscape in Belgium for various types of organizations, including companies, governmental and nongovernmental organizations and educational institutions. This research builds further on a first national survey (SDG Barometer Belgium, 2018) on the adoption and implementation of the SDGs. However, an important aim of this research is to shift the emphasis to more prominent new elements, such as whether or not organizations use the SDGs in materiality assessments. While the main part of the data for this research were collected through an online questionnaire, document analyses were conducted based on the sustainability reports of BEL 20 companies, the benchmark stock market index of Euronext Brussels consisting of 20 companies traded at the Brussels Stock Exchange, and seven interviews were held to obtain additional insights.

A total of 386 organizations across sectors responded to the question “Does your organization perform a materiality analysis”, of which 210 organizations completed the question “Does your organization align the materiality analysis with the SDGs,”after an “exit route” based on a positive answer to the first question. When diving into the survey results, the authors see that no more than 12% of the 210 organizations performing a materiality analysis align their materiality analysis with the SDGs, while 14% indicate that they do not account for the SDGs at all in their materiality analyses. The results show that 41% of the organizations take into account the SDGs to a certain degree when performing their materiality analysis. Speculating on an explanation for these results, it may be the case that organizations do not yet think about coupling the SDGs to their materiality assessment, experience difficulties in practice or generally lack the knowledge for relating the SDGs to the sustainability topics that are relevant to them. This seems in line with other research (e.g. Van Tulder and Lucht, 2019), as the results of this study indicate that it seems to be difficult for organizations to relate the SDGs to the existing sustainability priorities or materiality analyses of companies.

The real contribution of this paper essentially lies in the description of the Janssen Pharmaceuticals case. The company recognized that today’s internally focused approach to goal setting is not enough to address global challenges. Hence, looking at what is needed externally from a global perspective, taking into account sustainability thresholds and setting ambitions accordingly, is needed to bridge the gap between current performance and required performance. From the Janssen Pharmaceuticals case, the authors learned that external stakeholders are an extremely useful source of information to address the required performance by using the SDG framework. For sure, SDG materiality analyses are still in an early phase of development and knowledge on how to conduct such an analysis may be lacking. Future efforts – or the lack thereof – may indicate whether or not companies consider such analyses as sufficiently relevant. Although the uptake of the SDGs is in progress, it remains to be seen which, if any, materiality method will eventually turn out as a new dominant way of defining material issues. The findings presented in this study hopefully serve as a basis for further investigation of the topic.