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This study aims to examine the effect of task and technology characteristics on the compatibility of technology and tasks, as well as examine the reciprocal effect between the task-technology fit and the use of information systems.

The study took place in 36 star hotels from one-star to four-star hotels in some cities and districts in South Kalimantan Province. There were 24 hotels in Banjarmasin, 7 hotels in Banjarbaru and 1 hotel in each area of Banjar, Tanah Bumbu, Tabalong, Hulu Sungai Utara and Barito Kuala. The hotels chosen were those implemented the information and communication technology as supporting administrative activities to serve hotel customers. The population was the front office staff in the existing hotels as the users of the information technology. The sampling technique used in this research was the questionnaire distribution in accordance with the number of population. Data were collected from the filled questionnaires. From the 239distributed questionnaires, 164 (68.62 per cent) were returned and used as the research data.

Task characteristics and technology characteristics have a significant and positive effect on task-technology fit, in which the higher the task characteristics and technology characteristics, the higher the task-technology fit. The task-technology fit and the use of information systems are positive and reciprocal. This means that the higher the task-technology fit, the higher the use of information systems.

The originality of this study is reciprocal relationship between the variables of use with the task-technology fit. Some researchers have found the compatibility of technological tasks affecting the use of information systems, namely, Lin and Huang (2008), Norzaidi and Salwani (2009), Larsen et al. (2009), McGill and Klobas (2009), D’Ambra and Wilson (2013), Im (2014) and Chang et al. (2015). On the other hand, in task-technology fit theory, Goodhue and Thompson (1995) state that use affects the task-technology fit.

Find out how the employees’ performance on the implementation of the hotel reservation information system. Therefore, this paper aims to examine the effect of the task-technology fit (TTF) on the use of information systems, as well as its effect on user performance and satisfaction.

This research type is explanatory research. In explanatory research, the aim is to provide an explanation related to the causal relationship between variables and hypothesis testing. The unit of analysis adopted in this study is the individual of the front office employees who use the star hotel reservation information system in South Kalimantan Province (the population is 239, and the taken are 150 samples, based on the number of indicators multiplied 5).

The higher the TTF, the higher the level of using information systems. The higher the use level of information systems, the higher the information systems user performance and vice versa in which the higher the user’s performance, the more increase the use of information systems. On the other hand, this study found that the use of information systems and user performance has no significant effect on user satisfaction.

The novelty in this study is shown in the influence between performance variables on the usage and the usage variables on the users’ performance. This study examines the importance of reciprocal usage and user performance relationships based on previous research studies that examine the relationship and that information technology (IT) usage will affect user performance. In addition, the users’ performance will affect the users’ behavior in using IT.

This study aims to provide a new overview and opportunities of blockchain (BCT), financial technology (fintech) and knowledge management (KM) over the past ten years. Its focus is on their potential to drive new value creation and innovation processes within the digital landscape of the tourism and hospitality.

This systematic literature review and sociotechnical approach employs a literature analysis, analyzing and synthesizing 62 relevant articles published in the past decade form e-databases (Web of Science and Scopus).

This study reveals that researchers frequently discuss the potential advantages and challenges of BCT, fintech and KM in this industry. These include establishing systems that prioritize transparency and traceability, addressing blockchain security concerns, enhancing financial transaction efficiency and trustworthiness, and promoting innovation and improvement through KM strategies. Furthermore, this review suggests that the application of blockchain, fintech and KM has the potential to create new markets and opportunities in the tourism and hospitality industry. This study provides insights into the state and implementation of technology-based and knowledge-based for tourism and hospitality in times of crisis and digitization era.

Shifting to new lens (refers to sociotechnical theory), from technology adoption strategy, it is important to stay updated with emerging technologies such as BCT and fintech and upcoming technologies trends must align with tourism and hospitality business objectives, customer expectations and market demands. From the socio-dimension, KM is not confined to technological tools alone. Instead, it is a strategic approach that emphasizes fostering a culture of open communication, collaboration and knowledge sharing within the team of tourism and hospitality industry.

Through a literature review approach, this study establishes a new foundation in tourism and hospitality such as analyzing research gaps, understanding benefits and challenges, supporting methodologies/theoretical frameworks and informing the future research opportunities. Additionally, a novel contribution is the inclusion of sociotechnical approach that is allocated into socio or knowledge resources perspective (knowledge management), and technical or technology perspective (blockchain and fintech) that drives tourism and hospitality innovation.

Academics and practitioners are increasingly discussing the role of crowdsourcing initiatives in dealing with the challenges imposed by the COVID-19 pandemic, along with their role in an emergency context in general. However, empirical evidence about the role of crowdsourcing initiatives in an emergency context is still scarce. This paper aims to address this gap in knowledge.

The authors adopted an inductive approach to investigate how companies leveraged crowdsourcing initiatives to address the issues posed by COVID-19. Data were collected through semi-structured interviews. The selection of the interviewees was based on a purposive sampling strategy. Data were analysed through thematic analysis.

The analysis led to the identification and examination of drivers (e.g. preserving relationships with customers), advantages (e.g. increased demand for services) and disadvantages (e.g. increased platform cost) of implementing crowdsourcing initiatives during COVID-19. By leveraging the findings, this paper suggests future research opportunities. Relevant future research opportunities include: (1) quantitatively evaluating the economic impact of crowdsourcing initiatives during a disruptive event and (2) examining how the sector in which the company operates influences the beneficial and detrimental effects of crowdsourcing initiatives on company performance.

The involvement of crowds as innovation partners has provided unique opportunities for companies to innovate and address the challenging scenario. The scientific literature about the role of crowdsourcing during COVID-19 is growing. However, there is still a scarcity of empirical evidence about the mechanisms underpinning the use of crowdsourcing during the pandemic. By leveraging semi-structured interviews, this paper addresses this relevant gap in knowledge.