Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study

Bag, Surajit; Dhamija, Pavitra; Singh, Rajesh Kumar; Rahman, Muhammad Sabbir; Sreedharan, V. Raja

doi:10.1016/j.jbusres.2022.113315

Cited by 64 publications

(46 citation statements)

References 111 publications

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“…Very few studies have focused on technology adoption in general (Bag et al, 2023;Rahman et al, 2023) and are concerned with the technical implementation and design of healthcare technology (Alaiad and Zhou, 2013;Nguyen et al, 2013;Pramod, 2022;Bag et al, 2022), however, a limited number of research has been conducted to identify the factors that drive behavioural intention in patients to use smart health technology. Thus, the present study aims to investigate the factors that influence female behavioural intention to adopt smart healthcare technology-driven services.…”

Section: Smart Health Care Technologymentioning

confidence: 99%

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Gani

Rahman

Bag

et al. 2023

BIJ

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PurposeThe aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.Design/methodology/approachTo test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.FindingsThe findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.Research limitations/implicationsSocial influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.Originality/valueThe current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

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Section: Smart Health Care Technologymentioning

confidence: 99%

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Gani

Rahman

Bag

et al. 2023

BIJ

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“…3. Analyzed from the functional perspective, the resource-based view believes that digital empowerment is the collection and coding of enterprise basic resources to realize resource datafication empowerment (Stylos et al, 2021;Bag et al, 2023).…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

“…Analyzed from the functional perspective, the resource-based view believes that digital empowerment is the collection and coding of enterprise basic resources to realize resource datafication empowerment ( Stylos et al, 2021 ; Bag et al, 2023 ). Resource datafication refers to taking heterogeneous and non-heterogeneous resources owned by enterprises as production factors, using digital technology as an empowering means and driving force, improving the degree of data coding and digital network of resources through the deep integration of digital technology and enterprise resources, and accelerating the reconstruction of enterprise resource integration efficiency and management mode ( Beverungen et al, 2022 ; Quach et al, 2022 ).…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

The impact of digital empowerment on open innovation performance of enterprises from the perspective of SOR

Lingling

Li²

2023

Front. Psychol.

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IntroductionAs China’s digital transformation index continues to climb and market openness increases, the active implementation of open innovation embedded in digital innovation eco-networks is key to implementing sustainable innovation-driven strategies. The widespread use of digital technologies has broken through the traditional closed boundaries of enterprises and enhanced technology exchange, information communication and R&D collaboration with other innovation agents.However, many enterprises’ digital empowerment efforts only stay at the level of digital technology, but do not rise to the level of corporate strategy. How to comprehensively promote the change of enterprise digital empowerment and help enterprises build a sustainable open innovation ecosystem needs further research.MethodsThis article uses the structure equation model and the necessary condition analysis methods to combine the stimulus-organization-reaction (SOR) theory to analyze the conduction mechanism of digital authorization to open innovation from a cognitive perspective.Results(1) In the era of digital economy, digital empowerment emphasizes the initiative and adaptability of enterprises, and explores a sustainable digital road suitable for enterprises themselves; (2) Organizational emotional ability and organizational disordered atmosphere play a mediating role between digital empowerment and open innovation, but organizational emotional ability has a positive impact on open innovation, while organizational disordered atmosphere is the opposite. (3) Organizational identity positively regulates the relationship between the disordered atmosphere and open innovation.DiscussionThe development of digital technology has adapted deviations with traditional management models. Organizing the investment in digital construction should also pay attention to the digital training and digital thinking of organizational members.Organizations should provide organizational support through various channels, enhance employees’ organizational commitments to create a relationship -shaped psychological contract, regularly carry out digital education and organizational culture, reduce the differential atmosphere between teams, enhance the team’s awareness of cooperation and trust in the teamAnd overall consciousness.

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Section: Introductionmentioning

confidence: 99%

“…Artificial intelligence (AI) is making rapid strides, playing a significant role in our civilization's growth and evolution. Having all the potential to revolutionize every aspect of the world, either in medicine, economy, leisure, communication, logistics and beyond (Apell and Eriksson, 2023;Bag et al, 2023;Malthouse and Copulsky, 2023;Tohidi et al, 2023), AI has gained more popularity along the diffusion of the fourth Industrial revolution and has become a perfect ingredient for every sector to flourish (Jan et al, 2022;Mariani et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Unleashing the value of artificial intelligence in the agri-food sector: where are we?

Trabelsi,

Casprini,

Fiorini

et al. 2023

BFJ

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PurposeThis study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.Design/methodology/approachThis study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.FindingsSix clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.Originality/valueThis study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.

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Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study

Cited by 64 publications

References 111 publications

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

The impact of digital empowerment on open innovation performance of enterprises from the perspective of SOR

Unleashing the value of artificial intelligence in the agri-food sector: where are we?

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