Search results

This study aims to investigate the role of e-service quality and e-trust for achieving e-loyalty among digital library users in the digital economy. The current study examined the mediation effect of e-trust in the connection between e-service quality and e-loyalty.

Cross-sectional design was applied for the purpose of data collection and empirical findings of the study. Survey method was used for the purpose of data collection from 783 online digital libraries users.

Results reveal that e-service quality positively predicts e-trust in digital economy. Moreover, in digital economy e-trust predicts the e-loyalty. The findings also reveal that e-trust mediates the relationship between e-service quality and e-loyalty links.

The finding of study suggested that individual level e-trust have a strong effect on e-loyalty in digital economy. Individual level aspects in term of e-service quality have a direct effect on e-trust to improve their e-loyalty. The finding indicated that digital libraries users in future will be more loyal toward e-service quality providers. The results are useful for the management of digital libraries and academia for future. This is the first study that includes e-service quality, e-trust and e-loyalty in the context of digital economy.

The purpose of this paper, applying concepts in the plant-based food sector, is a focus on the competitive rival trap for startup firms, with their initial advantage for under-served market segments, only to be overtaken by scale, speed, and brands of incumbent brand firms. As a case study of industry transformation, the food production sector illustrates how organizational innovation brings new forms of rivalry, from the farm gate to the kitchen plate. As a result, startups face a rivalry trap, if unable to scale quickly, as incumbents reframe their strategic response with startup acquisitions, corporate incubators or alliance partnerships consumer demand.

This paper outlines the features of precision agriculture, a new paradigm for agriculture and food production, requiring new competences and skillsets in the protein revolution, including issues like virus, bacteria and the molecular structure of food groups, animal breeding and veterinary medicine. Plant-based foods is used as a case study for startups and the rivalry trap.

The emergence of plant-based foods is a case study of market opportunity and creative destruction, where the potential market varies from $25bn to $72bn, and growing faster in the dairy sector. However, food incumbents bring new strategic responses and a rivalry trap, where startups must gain scale quickly in capabilities, talent and marketing prowess, often exploiting demand in market niches unimpeded by incumbent rivals.

Startups in biological sciences face massive challenges to increase scale and scope, even with unique intellectual property.

Startup firms need multidisciplinary management teams with a global outlook.

Plant-based foods form part of the protein revolution but face challenges of scale, cost competitiveness and taste, despite advantages for climate mitigation.

The impact of technological and science applications has blurred the traditional concept of industry boundary, with huge variations in the intangible knowledge component in their core activities and capabilities. Underlying variations imply that not all industries have similar supply demand conditions, with variations in input costs, capital intensity and innovation needs, with strategic implications for the rivalry trap.

This study aims to investigate the relationship between perceived usefulness, ease of use and adoption of online banking by customers in the Indian context. Using the technology acceptance model (TAM) as the base, this study underscores the importance of perceived enjoyment, security and trust in influencing customer satisfaction.

Using a structured survey instrument, this paper gathered data from 476 respondents in the southern part of India. First, the instrument’s psychometric properties were tested, and hypotheses were tested using Hayes’s PROCESS macros.

The results indicated that (i) perceived usefulness and perceived ease of use are positively related to the attitude of the consumers to use online banking, (ii) attitude to use is positively related to adoption intention and (iii) adoption intention positively predicts customer satisfaction. The results also reveal that (i) perceived enjoyment moderates the relationship between attitude to use and adoption intention, (ii) trust moderates the relationship between adoption intention and customer satisfaction and (iii) security (second moderator) moderates the moderated relationship between trust (first moderator) and adoption intention on customer satisfaction.

As with any survey research, self-report measures have the inherent problems of common method bias and social desirability bias. However, the authors have taken adequate care to minimize these limitations. In addition, the research has implications for consumer behavior concerned with online banking.

This study contributes to both practicing managers and the literature on online banking. The study suggests that bank managers need to focus on ensuring security and earning customers’ trust to motivate them to adopt online banking.

The study contributes to society by unraveling the antecedent conditions leading to accepting innovative changes initiated by banks. Especially in rural and cooperative banks, customers adopting online banking helps save their time and energy in visiting the physical locations of banks.

This study provides new insights into the complex relationships among variables contributing to customer satisfaction. The double-layered moderated moderated-mediation conceptual model developed and tested in this study is a novel idea that makes a significant contribution to the growing literature on online banking.

This study aims to investigate customers' personal innovativeness (PI) as an influencing factor of omni-channel customer experience throughout pre-purchase, purchase and post–purchase stages of the customer journey, and their subsequent influences on customers' reuse intention.

Data were collected from customers who had experience with omni-channel shopping in South Korea through a questionnaire made with Naver Forms, both online and offline from 15 June to 15 July 2022. Out of the received responses, only valid and consistent questionnaires were considered for statistical analysis. In total, 272 valid samples were utilised for the final analysis. Analyses included reliability, validity, path, structural equation modelling and mediation effects, using SPSS and AMOS software.

The results revealed a significant influence of personal innovativeness on the omni-channel customer experience across all purchase stages. Personal innovativeness was found to influence the customer experience in the pre- and post–purchase stages, thus affecting reuse intention. However, it did not have the same effect in the purchase stage. The omni-channel experience customer experience also played an indirect mediating role in the relationship between personal innovativeness and reuse intention.

First, personal innovativeness in the IT domain may be very prominent in studies examining innovative behaviours related to computing technology. Second, this study provides further understanding of customers' intentions to reuse omni-channel shopping. Third, the path analysis showed that personal innovativeness significantly affects customer experience at all pre-purchase, purchase and post–purchase stages of the customer journey. However, except for the purchase experience, both pre- and post–purchase experiences significantly impact customers' intention to reuse omni-channels and play a mediating role.

First, omni-channel retailers should launch new products, innovative promotional activities and explore new channels or new service modes to stimulate the need recognition of customers with high personal innovativeness. Second, omni-channel retailers should pay attention to the users' reviews of each channel because they play a key role in potential customers' purchase decisions. Third, offering customers a seamless shopping experience is essential as a marketing strategy for omni-channel retailing.

This study elucidates the causal relationship between personal characteristics and behaviour by dividing the omni-channel customer journey. In particular, personal innovativeness is identified as an important predictor of the intention to reuse omni-channels during the pre- and post–purchase stages. This suggests that omni-channel retailers need to strategically manage these stages to boost customers' reuse intention.

The purpose of this article is to investigate digital public spaces and audiences and to explore the relationship of digital public spaces to both ideas of nationhood and physical public institutions.

The article investigates tensions arising from the conjuncture of public spaces and digital culture through the lens of the Digital Public Library of America (DPLA). This research uses qualitative content analysis of a range of data sources including semi-structured interviews, primary texts and secondary texts.

The construction of the public library space as a digital entity does not attract anticipated audiences. Additionally, the national framing of the DPLA is not compatible with how audiences engage with digital public spaces.

Drawing on original, qualitative data, this article engages with the prevalent but undertheorized concept of digital public spaces. The article addresses unreflexive uses of the digital public and the assumptions connected to the imagined audiences for platforms like the DPLA.

The present study was aimed to explore and analyse the multifaceted impact of coronavirus disease 2019 (COVID-19) on quality-of-life of survivors, in physical, social, psychological and environmental health domains.

This explanatory mixed-method study was conducted on 20 patients admitted in the Intensive Care Unit (ICU) of a tertiary care hospital having mild-to-moderate clinical spectrum. Scores of WHO Quality of Life Brief Version (WHO QOL BREF) questionnaire, a quantitative data source, were recorded during admission and two months post-discharge. Qualitative data were collected through in-depth telephonic interviews 2 months post-discharge.

Statistically significant improvement in the quality-of-life was seen post-discharge in all four domains. Explanatory qualitative data derived four themes. This experience was life changing and metamorphic. Many participants experienced social exclusions. However, they outlived it with hope, faith and positive frame of mind. Quarantine, limiting social contact impacted largely the well-being and mental health of patients. Integrated care and multidisciplinary protocols are accentuated to combat future crisis.

COVID-19 was a wake-up call to human race for radical change in healthcare policies. Researchers have emphasised the need to build resilient communities. The role of this research in building evidence as a basis for informed integrated care and decision making is vital. Study findings suggest that along with exhausting physical symptoms survivors experienced psychological symptoms highlighting the need of integrated approach and tailor-made strategies in assessment and treatment.

Lack of integrated approach in the system resulted in long-lasting physical and psychosocial impact on the survivors. This novel mixed methods research report, adding a valuable insight to body of knowledge through first-hand information, help provide evidence base which can account for future research, policy reforms and response.

Scientific description of the organization and management of a temporary large scale healthcare (T-LSHc) vaccination clinic and evidence-based guidance for future temporary healthcare (T-Hc) services.

Mixed-methods rapid feedback case study, using interviews, document analysis and quantitative data, with both data collection and analysis guided by a research-informed systems program theory of the clinic.

Private contractors were not willing to bid for contracts to set up and close a T-LSHc vaccination clinic in 2022, although they had done so earlier in the year. The public health system was able successfully to set up and run the clinic itself for 2 months, serving 3,000 people a day at its peak. Part of the success was because a dedicated unit to set up and run T-Hc services had been created in 2020. The Stockholm organization model differed from the Milan model by using information technology to reduce the need for a large number of on-site doctors.

There may be recall bias in interview data as interviews were carried out four months after the closing of the clinic. The conclusions apply to clinically simple but managerially complex T-Hc services but are limited to public healthcare systems operating in a similar context to that of the case study service. The study contributes to the new science of healthcare crisis organization and management and fills gaps in knowledge in disaster medicine for enduring and fluctuating health crises. The findings show the importance of a capacity to establish and manage T-Hc, and of the specialist management and HIT competence that health systems will need to build to meet the crises that threaten our health, both now and in the future.

Public healthcare systems can provide clinically simple and managerially complex T-Hc services quickly and successfully if they have experience and capacity to plan and set up such services, skilled operational managers respected by staff, staff who can be redeployed, and suitable health information technology.

The need for healthcare services to respond to crises is likely to increase in the future. Information for creating the service may be limited at first and changing. The exact nature of the health threat may be uncertain, as may the demand and needs of subpopulations and individuals. The study findings can help to respond quickly to reduce morbidity illness and death through creating and organizing temporary large-scale public healthcare services when existing services cannot be reorganized to meet the scale of the need.

This article is the first detailed empirical description and analysis of a large-scale temporary healthcare service operated by the primary care division of an integrated public healthcare system, with research informed guidance for future services of this type in similar contexts. This article compares two organization models of T-LSHc services, and contributes to an emerging subdiscipline of the organization and management of disaster and crisis healthcare.

The main purpose of this study is to test for the interaction effect of digital literacy in the relationship between financial technologies (FinTechs) of biometrics and mobile money and digital financial inclusion among the unbanked poor women, youth and persons with disabilities (PWDs) in rural Uganda.

Covariance-based structural equation modeling was used to construct the interaction effect using data collected from the unbanked poor women, youth and PWDs located in the four regions in Uganda as prescribed by Hair et al. (2022).

The findings from this study are threefold: first; the results revealed a positive interaction effect of digital literacy between FinTechs of biometrics and mobile money and digital financial inclusion. Second; the results also confirmed that biometrics identification positively promotes digital financial inclusion. Lastly; the results showed that mobile money positively promotes digital financial inclusion. A combination of FinTechs of biometrics and mobile money together with digital literacy explain 29% variation in digital financial inclusion among the unbanked poor women, youth and PWDs in rural Uganda.

The data for this study were collected mainly from the unbanked poor women, youth and PWDs. Further studies may look at data from other sections of the vulnerable population in under developed financial markets. Additionally, the data for this study were collected only from Uganda as a developing country. Thus, more data may be obtained from other developing countries to draw conclusive and generalized empirical evidence. Besides, the current study used cross sectional design to collect the data. Therefore, future studies may adopt longitudinal research design to investigate the impact of FinTechs on digital financial inclusion in the presence of digital literacy across different time range.

The governments in developing countries like Uganda should support women, youth, PWDs and other equally vulnerable groups, especially in the rural communities to understand and use FinTechs. This can be achieved through digital literacy that can help them to embrace digital financial services and competently navigate and perform digital transactions over digital platforms like mobile money without making errors. Besides, governments in developing countries like Uganda can use this finding to advocate for the design of appropriate digital infrastructures to reach remote areas and ensure “last mile connectivity for digital financial services' users.” The use of off-line solutions can complement the absence or loss of on-line network connectivity for biometrics and mobile money to close the huge digital divide gap in rural areas. This can scale-up access to and use of financial services by the unbanked rural population.

This paper sheds more light on the importance of digital literacy in the ever complex and dynamic global FinTech ecosystem in the presence of rampant cyber risks. To the best of the authors' knowledge, limited studies currently exist that integrate digital literacy as a moderator in the relationship between FinTechs and digital financial inclusion, especially among vulnerable groups in under-developed digital financial markets in developing countries. This is the novelty of the paper with data obtained from the unbanked poor women, youth and PWDs in rural Uganda.

This study aims to collect distributed knowledge organization systems (KOSs) from various domains, enrich each with meta information and link them to the multilingual KOS registry, facilitating integrated search alongside KOSs from various languages and regions.

This research involved collecting and organizing KOS information through three primary steps. The initial phase involved finding KOSs from Web search results, supplemented by the Korea ON-line E-Procurement System (KONEPS) and the National R&D Integrated Notification Service. After obtaining these KOSs, they were enriched by structuring contextual meta information using Basic Register of Thesauri, Ontologies and Classification (BARTOC) metadata elements and established dedicated media wiki pages for each. Finally, the KOSs were linked to the multilingual KOS registry, BARTOC, ensuring seamless integration with KOSs from various languages and regions and creating connections between each registry entry and its associated KOS wiki page.

The research findings revealed several insights, as follows: (1) importance of a stable source for collecting KOS: no national body currently oversees KOS registration, underscoring the need for a systematic approach to collect dispersed KOSs. For Korean KOSs (K-KOSs), KONEPS and National R&D Integrated Notification Service are effective data sources. (2) Importance of enhanced metadata: merely collecting KOSs were not enough. Enhanced metadata bridges access gaps and dedicated wiki pages aid user identification and understanding. (3) Observations from multilingual registry uploads: When adding KOSs to a multilingual registry, similarities were observed across languages and regions. Recognizing this, the K-KOSs were linked with their international counterparts, fostering potential global collaboration.

Due to the absence of a dedicated KOS registry agency, the study might have missed KOSs from certain fields or potentially over-collected from others. Furthermore, this study primarily focused on K-KOSs and their integration into the BARTOC registry, which might influence the methods and perspectives on collecting and establishing links among analogous KOSs in the registry.

This research pursued a stable method to detect KOS development and revisions across various fields. To facilitate this, we used the integrated e-procurement and R&D notification system and added meta information to aid in the identification and understanding of KOSs, which includes media wiki pages. Furthermore, link information was provided between the BARTOC registry and the Korean KOS websites and media wiki pages.

The purpose of this research is to extend the results of previous studies regarding corporate reputation scales and identify new and specific items relevant for studying global corporate reputation from a customer’s point of view.

This research was based on the qualitative projective “Album on Line” (AOL) technique. The authors used a sample of 12 French consumers distributed equally between affective and cognitive scenarios. An individual-difference multidimensional scaling approach (INDSCAL) was applied to display the overall semantic space among generated items.

The exploratory AOL approach generated 62 items related to both cognitive and affective orientations characterizing online and offline corporate reputation. The results uncovered six semantic clusters for each scenario. All in all, seven new items could be added in the process of building a new global corporate reputation measurement scale by adding: avant-garde, singularity, exclusivity, savings, return policy, freeness and speed.

This research makes it possible to propose a new global corporate reputation measurement scale with sound psychometric properties. This scale will be adapted for click and mortars and pure players. This paper unlocks future perspectives by suggesting a causal model that integrates online corporate reputation and its main antecedents and consequences.

From a managerial perspective, this research offers insights to managers with the main orientations surrounding the components of global corporate reputation. Moreover, the AOL mappings delineate which quadrants the managers would like to be fitted into or avoid, and hence define more precisely which key elements should be stressed or discarded.

This research outlines AOL, an original qualitative projective technique that can be used to understand customers’ thoughts, which are stocked and collected as images. Moreover, this research intends to analyze the gathered data using both INDSCAL and fuzzy k-means cluster analysis to reduce conventional biases related to subjectivity.