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Business process (BP) reengineering is defined as reinventing BPs either structurally or technically to achieve dramatic improvements in performance. In any business process reengineering (BPR) project, process modeling is used to reason about problems found in existing (as-is) process and helps to design target (to-be) process. BP model notation is a widely accepted standard for process modeling. “Expressiveness” and “missing formal semantics” are two problems reported to its modeling practices. In existing studies, solutions to these problems are also proposed but still have certain limitations. The paper aims to discuss this issue.

In proposed methodology, a meta-model is formally defined that is composed of commonly used modeling elements and their well-formedness rules to check for syntactic and structural correctness of process models. Proposed solution also check semantics of process models and allows to compare as-is and to-be process models for gap identification which is another important aspect of BPR. To achieve the first goal, Z specification is used to provide formal specifications of modeling constructs and their rules and Z3 (an SMT solver) is used for comparisons and verifying properties.

Proposed method addresses both “expressiveness” and “missing formal semantics” of BPR models. The results of its evaluation clearly indicate that using formally specified meta-model, BPR model is syntactically and structurally correct. Moreover, formal modeling of BPs in Z3 helped to compare processes and to check control flow properties.

Although the proposed method is tested on an example that is widely used in BPR literature, the example is only covering modeling elements which are part of the proposed subset and are reported in literature as frequently used modeling elements. A separate detailed study is required to test it on more complex systems.

Specifying process models using Z specification and Z3 solver requires certain expertise.

The proposed method adds value to BPR body of knowledge as it proposes a method to ensure structural and syntactic correctness of models, highlighting the importance of verifying run time properties and providing a direction toward comparing process models for gap analysis.

This study aims to explore the essential factors of the reason for (RF) and reason against (RA) and their impact on tourist attitudes and intentions to use e-bike sharing services by using a novel approach based on behavioral reasoning theory (BRT).

A quantitative method was used to collect data from 292 tourists and analyze the data using the partial least squares structural equation modeling (PLS-SEM) technique.

The outcomes indicate that both “RF” and “RA” are crucial in affecting tourist attitudes and intentions to use e-bike-sharing services. In addition, factors such as convenience, price saving and time saving were identified as “RF” while “RA” weather conditions, safety concerns and image barriers were identified that affect tourist attitudes and intention to use e-bike sharing services. These findings also indicate that tourists’ values of openness to change significantly influence “RF” and have no impact on “RA” and attitude toward e-bike-sharing services.

This study provides valuable insights that complement the existing literature on electric bike sharing and BRT in the context of promoting sustainable and eco-friendly consumption.

This research takes a significant step forward in investigating the tourist attitudes and intentions toward using e-bike sharing services in a tourist destination growing economy by using the BRT theory and proposing a model that considers both the “RF” and “RA” using e-bikes for urban transportation.

本研究旨在利用基于 BRT 的新方法, 探讨使用电动自行车共享服务的支持原因（RF）和反对原因（RA）的基本因素及其对游客使用电动自行车共享服务的态度和意图的影响。

采用定量方法收集 292 名游客的数据, 并使用 PLS-SEM 技术分析数据。

结果表明“RF”和“RA”对于影响游客使用电动自行车共享服务的态度和意图至关重要。此外, 方便、节省价格和节省时间等因素被确定为“RF”, 而“RA”则被确定为影响游客态度和使用电动自行车共享服务意愿的天气条件、安全问题和形象障碍。这些发现还表明, 游客对变革的开放价值观显着影响“RF”, 但对“RA”和对电动自行车共享服务的态度没有影响。

这项研究提供了宝贵的见解, 在促进可持续和环保消费的背景下补充了有关电动自行车共享和 BRT 的现有文献。

本研究利用 BRT 理论, 在调查经济增长的旅游目的地中游客对使用电动自行车共享服务的态度和意图方面迈出了重要一步, 并提出了一个同时考虑“RF”和“RA”的模型用于城市交通的电动自行车。”

Este estudio pretende explorar los factores esenciales de las razones a favor (RF) y en contra (RA) y su impacto en las actitudes e intenciones de los turistas de utilizar los servicios de bicicletas eléctricas compartidas (e-bike sharing) utilizando un enfoque novedoso basado en la BRT.

Se utilizó un método cuantitativo para recopilar datos de 292 turistas y analizarlos mediante la técnica PLS-SEM.

Los resultados indican que tanto la “RF” como la “RA” son cruciales para afectar a las actitudes e intenciones de los turistas de utilizar los servicios de e-bike-sharing. Además, se identificaron como “RF” factores como la comodidad, el ahorro de precio y el ahorro de tiempo, mientras que como “RA” se identificaron las condiciones meteorológicas, las preocupaciones por la seguridad y las barreras de imagen que afectan a las actitudes de los turistas y a su intención de utilizar los servicios de e-bike sharing. Estos resultados también indican que los valores de apertura al cambio de los turistas influyen significativamente en “RF” y no tienen ningún impacto en “RA” ni en la actitud hacia los servicios de e-bike sharing.

Este estudio aporta valiosas ideas que complementan la bibliografía existente sobre el uso compartido de bicicletas eléctricas (e-bike sharing) y el BRT en el contexto de la promoción de un consumo sostenible y respetuoso con el medio ambiente.”

Esta investigación da un importante paso adelante en la investigación de las actitudes e intenciones de los turistas hacia la utilización de los servicios de e-bike sharing en un destino turístico de economía en crecimiento utilizando la teoría del BRT y proponiendo un modelo que tiene en cuenta tanto la “RF” como la “RA” que utilizan las e-bikes para el transporte urbano.”

The purpose of this study is to examine the drivers and barriers of travel behavior associated with tourist behavior during/post-COVID-19 pandemic to provide a knowledge base as well as an agenda for future research.

The authors utilized the Systematic Literature Review (SLR) technique for searching the articles published in Web of Science (WOS) and Scopus, to identify the main drivers and barriers affecting the tourist behavior during/post-COVID-19 pandemic. Eventually, 47 articles were chosen for the final analysis.

The findings are reported in three sections, (1) quantitative research profile, (2) qualitative synthesis and (3) future agenda. This study addresses the nuanced questions regarding the significant change in tourist travel behavior, emotional dynamics and a detailed understanding of mechanisms, such as which drivers and barriers affect tourist behavior in a particular destination. Drivers and barriers to tourist travel behavior were characterized in personal-related, destination-related, and health-related factors. Moreover, this study provides thought-provoking ideas in theory, policy and practice in the field of tourism and hospitality.

This study has three limitations, as follows. First, the authors searched only two databases, Scopus and Web of Science, due to which the authors might be missing some related studies existing on the other databases. Although these databases provide an extensive range of academic literature, further studies could extend the data collection from the other databases (e.g. via Taylor & Francis). However, our systematic literature review (SLR) coverage is quite extensive, since journals are listed on these three main databases. Second, the authors followed a main study search protocol based on the synonyms and related keywords, however, some of the studies that may be related to the tourist behavior towards the destination are missing on account of the lack of our keywords in there, title, author, keyword and abstract. Furthermore, future research could endeavor to add other keywords to expand the results of studies. Third, although the accurate analysis was conducted to reduce subjectivity in identifying themes for drivers and barriers of tourist behavior, future studies on categorization could work to ensure that other sub-themes categorize.

The recent study has some key practical implications. First, this study is valuable for all the stakeholders in a unique way, including destination managers, academicians and policymakers, because it provides insight into barriers and drivers that influence the development of tourist behavior towards the destination. Second, the current study also offers practical implications for people involved in tourism service industries including governments and private businesses. Policymakers and other leaders are increasingly interested in harnessing the economic potential of tourism. Therefore, identifying the barrier which is inhibiting the tourist traffic towards the destination is beneficial to understand and effectively develop strategies to minimize the effect of such factors. Moreover, drivers and barriers of tourist behavior towards the destination in the COVID-19 pandemic situation towards the destination may help to create a framework for the development of destinations according to the current vulnerable situation. Third, current findings suggest that tourism marketers understand the drivers and barrier constructs found in this study and tailor their marketing strategies for attracting existing and new tourists. For instance, marketers should understand the drivers and barriers of tourist behavior for effective strategy development to increase the positive effect of drivers and to reduce the negative effect of barriers.

This is the first systematic literature review on the impact of drivers and barriers of tourist travel behavior. This paper analyses the methods and approaches that have been used in the previous literature to examine the drivers and barriers of tourist travel behavior. The paper ends with the research implication and limitations of the studies.

The increasing African population and economic growth leading to urbanisation continues to increase the need to redevelop brownfields as a strategy of encouraging sustainable development of cities, in particular in Ethiopia. However, the adoption of brownfield redevelopment in Ethiopia is at initial stage. Thus, the purpose of this paper is to highlight the framework based on grey-incidence decision-making approach to manage brownfields in African countries by taking Ethiopia as case example. The grey-incidence decision-making model integrates multiple factors such as economic, social, environmental, technical and associated risks and provides an effective decision-making and management tool for environmental practitioners and government agencies.

Questionnaires were used to collect data on terms and definitions of brownfield. The questions were prepared on the basis of currently used definitions developed by a number of developed countries. Moreover, this study utilises a grey-incidence decision-making approach to help in management and decision-making for the implementation of brownfield redevelopment projects (BRPs) in the remediated sites.

Standard definition of brownfield and essential guidelines for brownfield redevelopment is proposed for Ethiopian context. The research findings were tested and verified using literature data and survey from major stakeholders. In addition, the grey-incidence decision-making approach is applied for the evaluation of BRPs in the remediated sites. A framework is proposed to control future brownfields for African countries by taking Ethiopia as a case example.

This research stresses the significance of an urban structure to address sustainable development, and the need to consider redevelopment of brownfields and identify the potential for a specific government policy framework. This research provides the best opportunity for Ethiopia by devising an urban land policy and create a strategy to contribute social, economic, financial and environmental benefits. It also provides a foundation to solve environmental issues by involving all major stakeholders, including community citizens, environmentalists and government agencies, and it also serves as guidelines to transform brownfields into Greenfields; and finally, it contributes to achieve the 2030 UN global goals.

Significant numbers of business process management (BPM) projects fail. Their failure is attributed toward many factors. Among them, low quality of BPM is one reason. Some of the tasks in BPM have their roots in business process reengineering (BPR). The literature has cited many different critical success and failure factors for quality BPM and BPR. Lack of software tools is one of the technology-oriented factors that results in poor BPM and BPR. This paper aims to build a generic feature set offered by software tools for process modeling their analysis implementation and management. It presents an objective analysis in identifying weaknesses and strengths of these tools, primarily for BPM.

A method is proposed to evaluate the quality of process reengineering and management delivered by software tools. It consists of four phases: feature extraction, tool selection, data extraction and tool evaluation.

The data gathered is quantified to test research hypotheses, the results are statistically significant and highlight multiple areas for future improvements. Moreover, the cluster visualizations created also help to understand the strengths and weaknesses of BPM/BPR tools.

Despite the research approach used, there is a chance of subjectivity when it comes to evaluating different tools.

The paper includes implications for practitioners and researchers for choosing appropriate software tool for process modeling, analysis, implementation and management, matching their requirements with BPM and BPR. It also identifies features that are missing in these tools.

This paper provides a comprehensive analysis of BPM and supporting tools, relates them to key stages of BPM life cycle and BPR methodologies. It also identifies various areas for further development in these tools.

In this paper, the authors review the extant literature on e-learning effectiveness in higher education (HE) to investigate how teachers are affected by the actions that the management of higher education institutions (HEIs) need to take to address the success factors that are critical for e-learning effectiveness. E-learning, in the context of this study, encompasses the delivery of and access to a coordinated collection of learning materials and instructions over an electronic medium using a web server to provide the materials and a web browser to access them.

To address the study's aims the authors employ a narrative literature review methodology. Since the area under review is comprehensive and it entails the examination of several topics, the authors have selected this methodology to ensure thorough coverage, and a narrative literature review approach can provide the required degree of thoroughness as it covers a wide range of topics within the thematic area under review. The authors focus on contemporary scientific studies published between January 2017 and May 2022 on how teachers involved in e-learning are affected by management actions taken to achieve success factors for e-learning effectiveness within the HE sector, after identifying and grouping the success factors identified in prior literature into dimensions that reinforce effectiveness.

The authors of the present study have identified and outlined the most prevalent success factor dimensions by performing a narrative review of the extant literature on the topics of e-learning effectiveness and success factors, and by grouping the various success factors identified into the overarching dimensions presented. These dimensions must also be examined in terms of their relevant importance to the most significant e-learning stakeholder groups. Prior studies have made attempts to obtain relevant stakeholder views on success factors for e-learning, with the student perspective naturally being the most widely covered point of view in terms of e-learning success factors prioritization. More studies are needed that tackle the teachers' perspective as well, since this would enable researchers to determine how teachers view e-learning effectiveness success factors.

The authors also discover that the main success factors in literature are not discussed nearly enough from teachers' perspectives. The authors, therefore, highlight the importance of addressing teachers' perspectives, mainly because this will reinforce teacher acceptance of the e-learning system adopted by an HEI, and the authors also outline future research avenues through which the perception of teachers could be obtained. The authors have identified the technique of knowledge management as a potential method to involve teachers in the decision-making process concerning the management of e-learning more, by taking their views into account and documenting them. The authors have discerned that teachers' acceptance of e-learning would be reinforced by supportive management actions since as a result, teachers see improvements in their technological literacy and pedagogical skills, and this would bring about increased motivation, satisfaction and acceptance of e-learning systems.

The disruptive pandemic has badly affected supply chain operations across the globe and implementing green supply chain strategies is challenging for manufacturing firms, especially in emerging countries. Therefore, this study aims to identify the significant challenges hindering the green supply chain as a pathway towards sustainability in the post-COVID-19 era.

Fuzzy Delphi Methodology (FDM), Interpretive structural modeling (ISM) and MICMAC were applied. FDM was applied to select the most relevant challenges and later ISM and Matrices d'Impacts cross-multiplication appliqúe a classmate MICMAC were used for modeling and classifying critical challenges.

Lack of trust between firms and supply chain partners, and difficulty in transforming positive environmental attitudes into action are the significant challenges to implementing green supply chain management. Lack of communication between government and Chinese firms is the least important factor which shows that the government is trying to support firms and reduce the negative effects after the drastic impacts of COVID-19. However, COVID-19 left a draconian effect on organization’s green supply chain and it’s not easy to overcome.

None of the previous studies applied mixed methodologies of FDM, ISM and MICMAC to evaluate Green supply chain as a pathway to sustainable operations in the post-COVID-19 era. Challenging factors of green supply chain operations in COVID-19 are different from earlier studies and contribute to the literature of emerging countries.

Environmental sanctions and pressure from governments and customers can play an essential role in driving the manufacturing industry to adopt more sustainable practices and reduce their environmental impact. Thus, this study explores how pressures from customers and governments influence sustainable firm performance and customer satisfaction through green production, green creativity, green brand innovativeness and green brand image in the Chinese manufacturing industry? Further, the moderating role of green knowledge was analyzed.

640 valid responses from the Chinese manufacturing industry were collected through web-based and physical surveys and later assessed through structural equation modeling.

The findings of this study validated the direct relationship between the proposed construct. Mediation analysis found the mediating role of green brand innovativeness, green brand image green and customer satisfaction. Furthermore, the moderating impact of green knowledge was also proved.

The empirical findings of this research filled the literature gap on cleaner production and sustainable firm performance by focusing on green production, green creativity and green knowledge in the Chinese manufacturing industry context.

This paper draws on the conservation of resources (COR) theory to understand how organizational embeddedness develops through psychological ownership and organizational justice. The purpose of this study is to investigate the effects of three dimensions of organizational justice on organizational embeddedness and psychological ownership and the effect of psychological ownership on organizational embeddedness. The mediating role of psychological ownership between organizational justice and organizational embeddedness was also examined.

Data were collected from 300 engineers in Pakistan's power sector using a three-wave quantitative survey. Partial least squares path modeling was used to analyze the data.

The results show that distributive and procedural justice results in the development of organizational embeddedness. Simultaneously, psychological ownership mediates the link between all three dimensions of organizational justice and organizational embeddedness.

By highlighting the importance of organizational justice and psychological ownership, this study offers managers with two distinct strategies for enhancing their employees' organizational embeddedness.

There is a lack of research investigating the distinct effects of three dimensions of organizational justice on the three dimensions of organizational embeddedness. Further, research to investigate the intervening mechanisms that connect organizational justice and embeddedness is scarce. Finally, the COR theory has been utilized to explain how embeddedness works. However, it had not been utilized previously to understand the process through which embeddedness is accumulated. This study fills these gaps by examining the distinct effects of three dimensions of organizational justice on three dimensions of organizational embeddedness and examining these relationships' mediation through psychological ownership.

Corporate social responsibility (CSR) is a requirement for energy enterprises as different stakeholders deem environmental and social responsibility the duty. This study aims to explore the determinants that affect CSR disclosure in energy enterprises of developing nations.

Panel data of energy companies is used that are listed on Pakistan Stock Exchange. A comprehensive CSR disclosure index is developed using seven themes, i.e. environment, employees, energy, emissions, product, community development and other CSR-related activities. A random effect model of regression is used on the sample of data.

The finding of the study reveals that profitability, financial leverage, board size and being a multinational subsidiary has a significant relationship with CSR disclosure level.

The sample is confined to a certain number of years and publicly traded energy companies. Further studies can explore the relationship of CSR among different groups of firms, such as SMEs, non-listed companies and state-run enterprises to document whether the findings are significant or not. The opinions and ideas of external stakeholders could also be explored using various qualitative methods such as interviews.

To the best of the authors’ knowledge, it is the first study of its kind whose only focus is energy sector enterprises. A comprehensive scale is used to measure CSR practices. It is helpful for upcoming studies to examine the various aspects of CSR research and figure sound outcome.