Antecedents predicting health information seeking: A systematic review and meta-analysis

Numerous reasons regarding why people should seek health information exist, but empirical evidence has indicated that factors that influence health information seeking (HIS) differ according to the context. To make suggestions based on explicit and judicious use of the best available evidence, a meta-analytic review was undertaken. In the present review, 16 electronic databases were searched up to July 2019, empirical results of 71 primary studies that met inclusion criteria were coded, and seven antecedents that commonly affect HIS behavior were examined. We obtained 204 correlation coefficients from 90 independent subsets with a total of 74,171 respondents. The results indicated that self-efficacy (ES_r = 0.254), health literacy (ES_r = 0.222), availability (ES_r = 0.412), credibility (ES_r = 0.308), emotional response (ES_r = 0.090), and subjective norms (ES_r = 0.443) substantially influenced individuals’ HIS, and subjective norms was the most influential factor. Individuals’ behavior usually aligns with the opinions of other critical individuals in their lives, and this phenomenon was observed in the present study of the HIS context. In addition, eight variables were examined as potential moderators (i.e., roles of samples, gender, average age, topic, information channel, type of publication, data collecting method, and sampling method); statistically significant effects on some of the aggregated correlations were noted for all of these variables.     

Leadership and organizational innovation in the third sector: A systematic literature review

The impact of the global recession has served to increase pressure on non-profit organizations resources. Executive leadership is an essential component of the success of these institutions. The two-fold purpose of this article is to provide a state-of-the-art overview about the existing literature on leadership and organizational innovation in the third sector, as well as to identify research gaps leading to a research model, which can be used in further empirical research. For this, we used the collection of existing literature in the Web of Science. The 144 articles selected in the database were analysed using the VOSviewer software. Results show a concern with the renewal of management bodies and a lack of qualified leaders. This study contributes to the construction of an action agenda leading to the establishment of new leadership and organizational innovation model for the third sector.     

Digital payment and banking adoption research in Gulf countries: A systematic literature review

The global spread and use of internet and mobile contributed to the development of digital payments and baking. There is a lack of research which provides comprehensive synthesis and analysis of factors affecting the use and adoption of digital banking and payment methods in GCC countries. Thus, the aim of this paper is to provide a comprehensive literature review and perform weight and meta-analysis. By reviewing 46 studies, it was found that best predictors for digital payment and banking adoption in GCC countries are trust, perceived security and perceived usefulness. Based on the extensive literature review, the conceptual of factors affecting adoption digital banking and payment methods in Gulf countries model was proposed, which will set agenda for future research. Practitioners will be able to use the findings from this study to improve adoption and quality of digital banking and payment services     

Artificial intelligence in information systems research: A systematic literature review and research agenda

AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, which has overshadowed IS research previously. This study addresses this concern, by conducting a systematic literature review of AI research in IS between 2005 and 2020. The search strategy resulted in 1877 studies, of which 98 were identified as primary studies and a synthesise of key themes that are pertinent to this study is presented. In doing so, this study makes important contributions, namely (i) an identification of the current reported business value and contributions of AI, (ii) research and practical implications on the use of AI and (iii) opportunities for future AI research in the form of a research agenda.     

Uses of information and communication technologies in HIV self-management: A systematic review of global literature

Information and Communication Technology (ICT) has been applied increasingly in supporting human immunodeficiency virus (HIV) prevention and treatment. The technological advances have extended to the field of HIV self-management. The objectives of this paper are to examine the design and use of ICTs in HIV self-management programs, to identify the knowledge gaps in existing practice, and to provide recommendations for future research and program development. A systematic review was conducted to search all English literature published prior to August 2016 in six electronic databases. The inclusion criteria also included either quantitative or qualitative assessments of HIV self-management programs that utilized at least one ICT platform in the program protocol. The search identified six studies conducted in Australia and the United States. The studies were diverse in sample size and enrollment criteria of study population. The major functionalities of ICT platforms (mobile phones and websites) included delivering information modules, sending medication reminders, supporting self-monitoring for medical adherence and risk behavior reduction, enhancing communication among participants, and providing easy access to HIV self-management information. The major challenges faced by self-management programs utilizing ICTs were lack of interaction and concern of privacy. The HIV self-management programs that employed ICT platforms were limited in number and geographic coverage. Most of the programs were also tested at an initial stage with small size samples and minimum technical innovation. The lack of explicit guiding theories and models on information behavior or technology use was observed in all studies. Use of ICTs in HIV self-management interventions is an emerging field. Future research would benefit from paying more attention to technical innovation and interactive features in applying ICT platform in self-management programs. The ICTs platforms, with increasing innovation in connecting people and places, can serve as a powerful tool to reduce the disparities in health care and health promotion. Future research is also needed to explore the feasibility of applying ICT platforms in self-management programs that serving populations from diverse socioeconomic background and in resource-poor settings.     

Knowledge, learning and small firm growth: A systematic review of the evidence

A systematic review of empirical research on knowledge and growth in small firms is reported. The findings cover how human and social capital, organizational systems, and knowledge networks combine to facilitate or restrict growth. Findings highlight the situated, complex and idiosyncratic nature of small firm growth and the tensions between this experience and a prevailing view of knowledge in the existing research as a codifiable and transferable asset. A need for supplementary small firm heuristics (to age, size and sector) and epistemologies (to knowledge as an asset) and research approaches are identified to better investigate this diversity.     

Towards a typology of intermediaries in sustainability transitions: A systematic review and a research agenda

Intermediary actors have been proposed as key catalysts that speed up change towards more sustainable socio-technical systems. Research on this topic has gradually gained traction since 2009, but has been complicated by the inconsistency regarding what intermediaries are in the context of such transitions and which activities they focus on, or should focus on. We briefly elaborate on the conceptual foundations of the studies of intermediaries in transitions, and how intermediaries have been connected to different transition theories. This shows the divergence – and sometimes a lack – of conceptual foundations in this research. In terms of transitions theories, many studies connect to the multi-level perspective and strategic niche management, while intermediaries in technological innovation systems and transition management have been much less explored. We aim to bring more clarity to the topic of intermediaries in transitions by providing a definition of transition intermediaries and a typology of five intermediary types that is sensitive to the emergence, neutrality and goals of intermediary actors as well as their context and level of action. Some intermediaries are specifically set up to facilitate transitions, while others grow into the role during the process of socio-technical change. Based on the study, as an important consideration for future innovation governance, we argue that systemic and niche intermediaries are the most crucial forms of intermediary actors in transitions, but they need to be complemented by a full ecology of intermediaries, including regime-based transition intermediaries, process intermediaries and user intermediaries.     

Information,knowledge and collaboration management in the internationalisation of SMEs: A systematic literature review

Information and knowledge can be seen as key resources for improving the internationalisation processes of small and medium-sized enterprises (SMEs). Collaboration has also been considered as an important facilitator of these processes, particularly by nurturing information and knowledge sharing. However, the current literature is unclear about the way SMEs can access information and assimilate knowledge in a collaborative network context, to support decision-making. This paper systematically reviews the literature, examining the role of information, knowledge and collaboration in internationalisation decisions of SMEs. To this end, 38 relevant journal articles were analysed, with the identification of some important issues, as well as gaps in the existing empirical knowledge. This analysis provided valuable input for the development of research suggestions and directions for future work in this area.     

The role of digital transformation in improving the efficacy of healthcare: A systematic review

Healthcare is of high importance, and today it has been undergoing a profound change and being reshaped due to the adoption of digital transformations (DT). Nevertheless, considering the quick evolution of these technologies and its massive adoption, the current literature is still incipient on how innovations are translated into practice, with limited empirical evidence of its effectiveness, problems, and applications in digital healthcare. In fact, despite a considerably growing body of research literature on the use of new technologies in healthcare there is no systematic analysis on the practice of DT in healthcare systems. We believe that a literature review to fill this gap is important and pertinent, especially through the lens of applications, benefits, opportunities, and threats to analyze the status of these implementations and its impact in healthcare systems. We chose to perform a systematic literature review because it is a methodology that reviews previous literature and bring the field together, with rigor, concision, and minimal room for subjectivity, offering transparency in data collection and results with a higher level of objectivity and reproducibility. We expect to advance the understanding of the development of technical innovations in healthcare ecosystem and support scholars and practitioners to further explore empirical evidence of the effectiveness of digital applications in healthcare. We also offer a research agenda based on a bibliographic coupling analysis that identifies theoretical trends in the field researched and indicated four clusters with the most relevant themes of literature: IoT and Cloud computing, Data security, Healthcare structure, and Blockchain.     

Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review

The availability of healthcare data has exponentially grown, both in quantity and complexity. The speed of this evolution has generated new challenges for translating complex data into effective evidence-informed policy. Visual analytics offers new capacity to analyze healthcare systems and support better decision-making. We conducted a systematic scoping review to look for evidence of visual analytics approaches being applied to mental healthcare systems and their use in driving policy. We found 79 relevant studies and categorized them in two ways: by study purpose and by type of visualization. The majority (67.1%) of the studies used geographical maps, and 11% conducted highly complex studies requiring novel visualizations. Significantly, only 15% of the studies provided information indicating high levels of usability for policy and planning. Our findings suggest that while visual analytics continues to evolve rapidly, there is a need to ensure this evolution reflects the practical needs of policy makers.     

Understanding crowdsourcing projects: A systematic review of tendencies,workflow, and quality management

Crowdsourcing is a powerful method that leverages human intelligence to solve problems in the medical, linguistics, machine learning, and in a considerable number of other fields of study. This systematic review aims to understand how crowdsourcing projects are designed and executed in the state-of-the-art, considering the following dimensions: Task execution, quality management, and platform usage. Our results summarized trends of the important aspects of a crowdsourcing project, such as crowd and task types, crowdsourcing platforms, and activities used to manage the quality; we also addressed functions and limitations in traditional crowdsourcing platforms, the definition of a crowdsourcing workflow, and the lack of standardization when developing a crowdsourcing project. As future works, we wish to design a conceptual model that represents the important elements of a crowdsourcing project and their relationships, also, we wish to do further researchers focusing on how the quality mechanisms listed in this work should be used in crowdsourcing projects to get reliable results.     

The promise of digital technologies for sustainable entrepreneurship: A systematic literature review and research agenda

Research on sustainable entrepreneurship increasingly recognizes the transformative potential of digital technologies to mitigate and counteract grand environmental and social challenges through entrepreneurial action. However, this emerging field of research, referred to as digital sustainable entrepreneurship, is currently dispersed and fragmented and lacks the consolidated foundation to progress further. This article further establishes this nascent stream by conducting a systematic literature review offering two main contributions. First, common themes are derived from the literature (i.e., enabling value for society and environment, stakeholder inclusion, venture viability, and entrepreneurial individuals) to unravel the field's current state. Second, previous work is discussed and integrated by applying a business model perspective. Specifically, the article offers a framework that contributes to the role of business models for merging sustainability and digital technologies, reconceptualizes digital technologies as business model actors, and further develops the entrepreneur-business model nexus. Based on this, we present a comprehensive and actionable research agenda and practical implications.     

The state of play of blockchain technology in the financial services sector: A systematic literature review

The modern trends of digitalization have completely transformed and reshaped business practices, whole businesses, and even a number of industries. Blockchain technology is believed to be the latest advancement in industries such as the financial sector, where trust is of prime significance. Blockchain technology is a decentralized and coded security system which provides the capability for new digital services and platforms to be created through this emerging technology. This research presents a systematic review of scholarly articles on blockchain technology in the financial sector. We commenced by considering 227 articles and subsequently filtered this list down to 87 articles. From this, we present a classification framework that has three dimensions: blockchain-enabled financial benefits, challenges, and functionality. This research identifies implications for future research and practice within the blockchain paradigm.     

Competition and challenges of mobile banking: A systematic review of major bank models in the Thai banking industry

This study investigates the competition and challenges of mobile banking system in Thailand. The analyses of the competitive landscape of mobile banking innovations are based on the Managing Migration Paths Model. The empirical study focuses on the leading banks in Thailand: Bangkok Bank, Kasikorn Bank, Siam Commercial Bank, Krung Thai Bank and Bank of Ayudhya. The study discusses the strategies, SWOT analyses of the mobile banking industry in the move towards the m-money economy. The results have shown that banks see mobile banking as a convenient delivery channel to provide value-added services to the bank customers. The competition forces banks to seek strategic alliances (network collaboration between the banking and ICT industries) to offer innovative solutions in the payment market. The results provide insightful implications on future challenges and increasing competition under 3G and 4G mobile phone networks whereby the e-payment market will get bigger when Thailand would enter the ASEAN Economic Community (AEC — upcoming regional competition in AEC countries) in 2015.     

The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation

The extended unified theory of acceptance and use of technology (UTAUT2) is less than ten years old and has already garnered more than 6000 citations with extensive usage in information systems and beyond. This research employed cited reference search to systematically review studies that cited UTAUT2 originating article. Based on UTAUT2 usage, the downloaded articles were classified into four categories such as: 1) General citation, 2) UTAUT2 application, 3) UTAUT2 integration, and 4) UTAUT2 extensions. Weber's (2012) theory evaluation framework revealed UTAUT2 as a robust theory on most dimensions except for parsimony arising from the complex model. UTAUT2 extensions emerged as popular UTAUT2 utilization category as researchers extended the model with context specific variables. Finally, UTAUT2 extensions were mapped to Johns' (2006) context dimensions to identify various limitations of the existing technology adoption research and to provide multi-level framework for future researchers with libraries of context dimensions.     

中国不同类型科技奖励问题与原因的认知研究——基于问卷调查的分析

对中国高等院校、科研机构和企业研发机构一线科技工作者的抽样问卷调查结果显示:行政干预过多、奖励人员名单不实以及与个人利益挂钩太紧是当前中国政府科技奖励中的主要问题,而社会科技奖励中的主要问题是科学家不重视以及影响力不强。当前评价体系的不合理、相关监督审核机制不到位以及造假发现后的惩罚力度太小是其主要原因。根据调查结果,文章提出了改进中国科技奖励体系的政策建议。     

The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations

The Internet of Things (IoT) might yield many benefits for organizations, but like other technology adoptions may also introduce unforeseen risks and requiring substantial organizational transformations. This paper analyzes IoT adoption by organizations, and identifies IoT benefits and risks. A Big, Open, Linked Data (BOLD) categorization of the expected benefits and risks of IoT is made by conducting a comprehensive literature study. In-depth case studies in the field of asset management were then executed to examine the actual experienced, real world benefits and risks. The duality of technology is used as our theoretical lens to understand the interactions between organization and technology. The results confirm the duality that gaining the benefits of IoT in asset management produces unexpected social changes that lead to structural transformation of the organization. IoT can provide organizations with many benefits, after having dealt with unexpected risks and making the necessary organizational changes. There is a need to introduce changes to the organization, processes and systems, to develop capabilities and ensure that IoT fits the organization’s purposes.     

From knowledge to added value: A comparative, panel-data analysis of the innovation value chain in Irish and Swiss manufacturing firms

The innovation value chain (IVC) divides the innovation process into three separate links or activities: knowledge gathering, knowledge transformation and knowledge exploitation. Here, we report a comparative panel data analysis of the IVC in Ireland and Switzerland. Both economies are small, very open and depend significantly on innovation to maintain competitive advantage. In recent years, however, R&D and innovation growth in Ireland has been markedly stronger than that in Switzerland. We investigate these differences through the ‘lens’ of the IVC. Significant similarities exist between some aspects of firms’ innovation behaviour in each country: strong complementarities emerge between external knowledge sources and between firms’ internal and external knowledge. And, in both countries, in-house R&D and links to customers prove important drivers of innovation. Innovation drives productivity growth in different ways in the two countries, however, through product change in Switzerland and through process change in Ireland. Other differences in the determinants of innovation performance linked to ownership and firms’ institutional context emphasise the systemic nature of innovation and the legacy of past patterns of industrial development.     

30 years of intelligence models in management and business: A bibliometric review

The critical factors in the big data era are collection, analysis, and dissemination of information to improve an organization’s competitive position and enhance its products and services. In this scenario, it is imperative that organizations use Intelligence, which is understood as a process of gathering, analyzing, interpreting, and disseminating high-value data and information at the right time for use in the decision-making process. Earlier, the concept of Intelligence was associated with the military and national security sector; however, in present times, and as organizations evolve, Intelligence has been defined in several ways for the purposes of different applications. Given that the purpose of Intelligence is to obtain real value from data, information, and the dynamism of the organizations, the study of this discipline provides an opportunity to analyze the core trends related to data collection and processing, information management, decision-making process, and organizational capabilities. Therefore, the present study makes a conceptual analysis of the existing definitions of intelligence in the literature by quantifying the main bibliometric performance indicators, identifying the main authors and research areas, and evaluating the development of the field using SciMAT as a bibliometric analysis software.