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The purpose of this study is to investigate the recovery and resilience tourism strategies and possible future development of four main Chinese tourism cities.

The authors collected data from the official accounts of tourism administrations of these cities, tourist attractions and opinions from media and newspapers in Sina Weibo platform. The authors adopted an inductive approach in observing relevant social media posts and applied content analysis to identify main China’s tourism prevention and recovery strategies.

During the mass pandemic infection period, top-down prevention and control measures were implemented by the Chinese central and local governments, with feasible and regional recovery policies and protocols being adapted according to local situations. Measures related to tourism industrial re-employment, improvement of international images and governmental financial supports to re-boost local tourism in Chinese cities were paid great attention. Digitalization, close-to-nature and cultural heritages became important factors in the future development of China’s tourism. Dark tourism, as a potential tourism recovery strategy, also obtained huge emergence, for the memory of people deceased in the pandemic and for the inheritance of national patriotism.

This study enriches the current literature in urban tourism recovery studies analyzing the specific case of Chinese tourism cities and fulfill some voids of previous research mostly focused on the first wave of the pandemic and the recovery strategies mainly of Western cities. It also provides valuable suggestions to tourism practitioners, destinations and urban cities in dealing with regional tourism recession and finding possible solutions for the scenario associated to the COVID-19 and other similar health crisis.

Grounded in social cognitive career theory, this study investigates how employees' perceptions of job security and well-being affected their performance during the COVID-19 pandemic. It also examines the moderating effects of perceived organizational support and psychological capital on well-being and performance.

Using a two-wave time-lagged design, data were collected from 279 frontline employees in public service organizations in Saudi Arabia.

The study’s results show that perceived job security significantly affects job performance. Employee well-being significantly and positively influences job performance and partially mediates the relationship between perceived job security and job performance. Additionally, perceived organizational support and psychological capital positively moderated the relationship between employee well-being and job performance during the pandemic.

This study suggests that policymakers and practitioners need to prioritize addressing the job security concerns and well-being of frontline employees during a pandemic to enhance employee performance.

Our findings present significant implications for policymakers in the context of job security and performance within public organizations in emerging countries.

本研究以社會認知生涯理論為基礎,去探討在2019冠狀病毒病疫情期間,僱員對職業保障和福祉的看法如何影響他們的工作績效; 研究亦擬探討感知組織支持和心理資本對福祉和工作績效所起的調節作用。

研究人員使用雙波時間遞延設計收集數據; 數據取自於沙特阿拉伯的公共服務組織內工作的279名一線員工。

研究結果顯示,僱員的感知職業保障會對他們的工作績效有顯著的影響; 另外,僱員的福祉會正面和顯著地影響他們的工作績效; 而且,僱員的福祉也會局部地調節感知職業保障與工作績效之間的關係。再者,研究人員發現,在大流行期間,感知組織支持和心理資本正面調節了僱員福祉與工作績效之間的關係。

研究結果建議政策制定者和從業人員必須於大流行肆虐期間,優先處理有關職業保障的關注和一線員工的福祉,俾能提升僱員的工作績效。

本研究的結果為政策制定者提供了重要的啟示,幫助他們於公共組織的環境內,能更有效地處理關於職業保障和僱員工作績效的事宜。

Organisations are confronted with the challenge of navigating various pressures arising from activities that shape environmental and social impacts, which stakeholders find significant. This research endeavours to ascertain a process facilitating the analysis and seamless integration of sustainability into corporate strategy. The goal is to establish an “integrated” ESG governance framework adept at effectively managing institutional pressures.

This research employs an action research approach, focusing on a leading company within the sugar industry. The investigation delves into the relationship dynamics associated with business issues through a process that engages, either directly or indirectly, board members, top managers, as well as industrial and commercial customers, along with final consumers.

The formulation of a sustainability strategy serves as a guiding framework for the Board of Directors in effectively navigating tensions arising from environmental, social and economic pressures.

The research contributes to bridging the realms of business governance and institutional theory (viewed under a paradoxical lens). On a managerial level, the study introduces a structured process aimed at seamlessly integrating sustainability objectives into governance, aligning with international ESG guidelines (OECD, 2023; WEF, 2020).

The originality of this research lies in crafting a sustainability strategy by the BoD that takes into account the impact of governance and responds to the demands of strategic stakeholders.

Social practices of work humor among engineering workers are a lesser studied phenomenon. We examine the social practices of an engineering work team through acts of a peculiar form of humorous expression we identify as installation humor. In these cases of installation humor, an anonymous member of the team created a temporary, inappropriate, yet neutral installation of a physical object to amuse the other members of the team. We provide three mini-cases of installation humor; these installations appeared as the team subtly resisted a managerial initiative. We contribute knowledge to the practices of engineers at work and to the practices of resistive humorous expression.

Qualitative, full-participant ethnographic research with multiple data collection methods and utilizing abductive analysis. During the data collection, one of the researchers was a full member of the engineering team.

We identified anonymous, artefact-based enactments of resistive humorous expression, which we named installation humor. We identify and describe installation humor, which occurred at the intersectionality of work and self-expression and served as momentary artefacts symbolic of engineering worker resistance in a high-tech environment.

Managerial awareness of the unfolding forms of worker-led, fleeting signals of resistance, such as acts of installation humor, would provide another dimension of perception for identifying salient signals surrounding the phenomenon of resistance to managerial-led change initiatives. Further research is needed on engineering humor in the R&D workplace to better understand the complexity and dynamics of phenomena such as worker resistance through humorous acts. We suggest future studies on forms of humor in the engineering workplace, including incidences of installation humor as they exist in other professional work environments and organizations, to understand common and shared practices across professional boundaries.

We advance and extend the understanding of humor as a social practice in the context of professional engineers in their R&D workplace and we identify humorous acts serving as a response to negative emotions (Huber, 2022) toward the organization related to a newly instated form of managerial control. This paper contributes to the studies of social practices of humor and emotions (Fine and De Soucey, 2005) in the engineering workplace (Buch and Andersen, 2013; Buch, 2016; Mazzurco et al., 2021) as unsupervised activity at work (Gabriel, 1995), with the social practice of humor adopting a non-verbal form that we identified as installation humor. We named this specific form of humor that we observed as installation humor and defined its specificity and differences from more traditional methods of humor (t. ex. Fine and De Soucey, 2005; Martin and Ford, 2018), shop floor humor (t. ex. Roy 1959), workplace humor (t. ex. Rosenberg et al., 2021) and engineering student humor (Holmila et al., 2007; Bender, 2011; Berge, 2017).The results of this study also suggest that ethnography for studying humor as a social practice is useful in identifying micro-level occurrences of unfolding engineering humor, including humor as a form of resistance.

The study of humor in high-tech engineering settings enhances the literature of engineering work (t. ex. Mazzurco et al., 2021) and emerging humorous phenomena (Jarzabkowski and Lê, 2017). This case study highlights and extends the understanding of the non-technical competencies of engineers and the role of peer-to-peer humor in the engineering workplace as a form of resistance during managerial initiatives within an organization.

The study extends and contributes new knowledge to research on emotions and humor by engineers at work, including the identification of a peculiar form of humor used by the engineers. This study also contributes to nascent research on the social practices of engineers at work. The research material was gathered as a full-member ethnography, increasing methodological knowledge of researching a site from within.

This study aims to investigate tourists’ attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists’ behavioral intention.

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists’ perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists’ attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists’ perceived risks of ChatGPT.

This work is a preliminary empirical study that assesses tourists’ behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPT’s capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists’ intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论（TPB）相结合, 本研究探讨了三种感知风险（隐私风险、准确性风险和过度依赖风险）对游客行为意向的影响。

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

Productivity increase is correlated with profitability, sustainability and competitiveness of the construction firms. Recent studies reveal that the primary causes of productivity decline are poor usage of scientific and technological advances, ineffective supervision strategies and poor apprenticeship facilities/opportunities. Accordingly, the purpose of this study was to evaluate how well construction supervisors can utilise fundamental science and technological concepts/ideas to increase the efficiency and productivity of construction activities.

A new strategic layout was designed with the use of potential training guide tools. Based on the designed layout, a new supervisory training programme was developed, and 62 construction supervisors were selected, trained and evaluated in line with six parts of competencies and the relevant learning domains. An assessment guide with different levels of descriptions and criteria was developed through literature analysis and expert interviews. The research tools were verified using comprehensive approaches.

The overall mean values of supervisors’ performance scores indicate proficient-level grades in the competency characteristics related to taking measurements, generating drawings/designs using manual techniques and computer-aided tools, involving Bill of Quantities (BOQ) preparations and preparing training plans/materials for improving the competencies of labourers on estimation, measurements and understanding drawings. Their proficiency was notably lower in the use of information and communication technology application tools in construction tasks compared to others. The findings point to a modern generalised guideline that establishes the ranges of supervisory attributes associated with science and technology-related applications.

The study outcomes produce conceptualised projections to restructure and revalue the job functions of various working categories by adding new definitions within the specified scope. This may result in constructive benefits to upgrading the current functions associated with urbanisation, sustainability and society. The implementation of the study’s findings/conclusions will have a significant impact on present and future practices in other developing nations and developing industries, even if they are directly applicable to the Sri Lankan construction industry.

Up to certain limits/stages, the study fills not only the knowledge gap in the field of creating protocols and application techniques connected to lifelong learning and skill enhancement/upgrading but also the existing gaps in work attributes and roles of construction supervisors associated with the utilisation of fundamental science and technological concepts/ideas towards reinforcing sustainable and productive site operations.

The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns.

The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology).

The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based.

The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.

This study aims to determine how the applications of blockchain technology (BT) can play a crucial role in managing financial flows in the humanitarian supply chain (HSC) and what benefits and challenges are associated with BT in a humanitarian setting.

The present study used a qualitative research approach, incorporating a systematic literature review and conducting semi-structured interviews with 12 experts in the fields of humanitarian operations, supply chain management, fintech and information technology.

The findings show that the humanitarian sector has the potential to reap significant benefits from BT, including secure data exchange, efficient SCM, streamlined donor financing, cost-effective financial transactions, smooth digital cash flow management and the facilitation of cash programs and crowdfunding. Despite the promising prospects, this study also illuminated various challenges associated with the application of BT in the HSC. Key challenges identified include scalability issues, high cost and resource requirements, lack of network reliability, data privacy, supply chain integration, knowledge and training gaps, regulatory frameworks and ethical considerations. Moreover, the study highlighted the importance of implementing mitigation strategies to address the challenges effectively.

The present study is confined to exploring the benefits, challenges and corresponding mitigation strategies. The research uses a semi-structured interview method as the primary research approach.

This study adds to the existing body of knowledge concerning BT and HSC by explaining the pivotal role of BT in improving the financial flow within HSC. Moreover, it addresses a notable research gap, as there is a scarcity of studies that holistically cover the expert perspectives on benefits, challenges and strategies related to blockchain applications for effective financial flows within humanitarian settings. Consequently, this study seeks to bridge this knowledge gap and provide valuable insights into this critical area.

The sustainability of the construction industry is associated with the productivity, profitability and competitiveness of the firms, which are significantly affected by inefficient site supervision and labour management approaches. This study aims to use a case study with mixed methods to evaluate the site supervisory characteristics in labour management, labour performance assessment and labour productivity measurement towards developing meaningful guidelines in polishing construction supervision attributes.

Well-developed modern apprenticeship elements were applied to 62 construction supervisors who were selected using the snowball sampling method, and their relevant competency characteristics were assessed using a comprehensively developed grading mechanism connected with useful training manuals/tools. Academic reviews, experts’ consultations and other meticulous mixed approaches were applied at different stages of the research plan’s sequential layout.

The mean performance scores of supervisors indicate proficient-level grades in the competency characteristics related to applying efficient labour management procedures and developing-level grades in designing productivity measurement tools, performing assessments on efficiency and productivity and proposing enhancement practices on efficiency and productivity for site operations. The findings point to a modern generalised guideline that establishes the ranges of supervisory attributes within the scope of the study. The validity, reliability, adaptability and generalisability of the findings were assured by using pertinent statistical tests and professional assessments.

Though the study’s conclusions/findings are primarily applicable to the construction environment of a developing country comparable to the Sri Lankan context, they will considerably impact current/future industrial practices in various other countries and emerging industries.

The research has produced a conceptualised modern tool that guides determining the capacity levels of supervisory attributes for carrying out labour management, labour performance assessment and labour productivity measurement aspects in construction. The research has opened a pump that inflows new values of highly workable supervision features for strengthening the site management structures and filling the industry’s knowledge vacuum in the methodical execution of apprenticeships.