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The primary objective of this study was to investigate the viability of Lacticaseibacillus rhamnosus GR-1 (LGR-1) when combined with four prebiotic-rich fruit powders – apple, papaya, mango, and red beetroot – in probiotic yogurt. Additionally, the study aims to assess customer acceptability of the yogurt fortified with these fruit powders through a sensory evaluation using a nine-point hedonic scale.

The yogurt samples, inoculated with the LGR-1 probiotic strain, underwent fermentation at 38 °C for 0, 2, 4 and 6 h. Following fermentation, the samples were stored in a refrigerator at 4 °C for 1, 15 and 30 days. Throughout the study, microbial counts and pH level measurements were performed to assess the viability of LGR-1. A sensory evaluation consisted of 89 participants. A nine-point hedonic scale, ranging from 1 (dislike extremely) to 9 (like extremely), along with a questionnaire were used to assess criteria such as appearance, flavor, texture and overall acceptability of the samples.

All treatments at all time points maintained a minimum viable microbial count of 10⁷ CFU/mL (colony-forming units per mL), which indicated that the addition of fruit powders supported the growth and survival of LGR-1 in yogurt. Treatment 5, fortified with papaya powder, was the only group that exhibited a significant change of microbial count after 30 days of fermentation (p = 0.018). Although there were no statistically significant differences in pH values at the 0- and 2-h time points within each treatment, the pH remained relatively stable after day 15, with an average mean pH of 4.29. Treatment 2 fortified with mango powder obtained the highest overall acceptability score because of its smooth and firm texture as well as mild mango-sweet flavor.

This study explored the viability of probiotics and the sensory properties of yogurt fortified with various fruit powders, while also examining the potential prebiotic effects of fruit powders in enhancing overall sensory appeal. The findings suggested that papain may play a role in increasing probiotic viability in yogurt. Given the inconvenience and inaccessibility of fresh fruits and the generally inadequate prebiotic intake, this research addressed the gap in prebiotic consumption by offering novel ideas for health-enhancing dairy products.

The multifaceted effect of IT in organizations has been widely examined. However, the intervening role of IT strategy and business strategy on the effect of managing IT on firm performance remains less strong. This study examines how managing information technology (MIT) effects on firm performance by looking at the mediating role of IT strategy and business strategy.

Drawing on the resource-based view of IT and contingency perspective, theoretical insights for managing IT and the mediating effect of IT strategy and business strategy on firm performance are established. The model is empirically tested by using hierarchical regression and structural equation modeling for the data collected through the survey of 194 senior IT and business managers in China.

The significant and impactful relationship found in the model for the proposed idea. The results show that both IT strategy and business strategy partially mediate the effect of managing IT on firm performance.

The findings highlight that managing IT does not merely influence better firm performance; instead, the coherent amalgamation of IT strategy and business strategy can enrich firm performance. The theoretical and practical implications are also discussed.

In line with the call for rigorous research to integrate the managing IT and firm strategies, this study demonstrates the mediating role of business strategy and IT strategy between the managing IT and the firm performance relationship, hence contributing to the IS research literature.

The purpose of this paper is to examine the continuance intention of Alipay by proposing an integrated model. This paper highlights how the capacity of providing context-based information to the users plays significant role in determining the continuance intention of mobile payment like Alipay.

Data are collected from 336 Alipay users from Wuhan, P.R. China. To analyze the data, the authors apply structural equation modeling approach. Also, the authors perform importance-performance map analysis (IPMA) to identify the critical factors in explaining the continuance intention of Alipay.

The results of the study reveal that confirmation and perceived usefulness significantly influence the continuance intention of Alipay through satisfaction. Also, perceived usefulness, satisfaction, context and ubiquity have direct impact on the continuance intention of Alipay through attitude. According to IPMA, perceived ease of use, confirmation and context require special managerial consideration to improve their performance.

This research has proposed and validated an integrated model by incorporating context-awareness theory and technology continuance theory. This study provides significant insights that can assist respective decision-makers to formulate/adjust their strategies related to the retention of the existing users of mobile payment like Alipay.

Though prior studies have attempted to explore the various effects of managing information technology (IT) investment on firm performance, the mechanism through which management of IT impact on firm performance rests less clear. The purpose of this study is to examine the impact of managing IT and business-IT alignment on firm performance.

Drawing on the resource-based theory and process theory, this study examines how managing IT impacts business-IT alignment and firm performance. The primary survey of 182 responses from IT and business managers from Sri Lanka was empirically examined.

The findings reveal that managing IT has a positive and strong impact on business-IT alignment and firm performance. Further, business-IT alignment partially mediates between managing IT investment and firm performance relationships.

Today, businesses have invested a massive amount of money in IT investment, and the return on this investment is always a serious concern for managers and industry practitioners. This study finding proposes meaningful insights on managing IT, business-IT alignment and firm performance.

This study opens up the black box on the above nomological linkage and contributes to the literature by extending the theoretical lenses while suggesting insightful and practical implications.

This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.

This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.

By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.

Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.

The aim of this study is to propose an efficient rule extraction and integration approach for identifying phishing websites. The proposed approach can elucidate patterns of phishing websites and identify them accurately.

Hyperlink indicators along with URL-based features are used to build the identification model. In the proposed approach, very simple rules are first extracted based on individual features to provide meaningful and easy-to-understand rules. Then, the F-measure score is used to select high-quality rules for identifying phishing websites. To construct a reliable and promising phishing website identification model, the selected rules are integrated using a simple neural network model.

Experiments conducted using self-collected and benchmark data sets show that the proposed approach outperforms 16 commonly used classifiers (including seven non–rule-based and four rule-based classifiers as well as five deep learning models) in terms of interpretability and identification performance.

Investigating patterns of phishing websites based on hyperlink indicators using the efficient rule-based approach is innovative. It is not only helpful for identifying phishing websites, but also beneficial for extracting simple and understandable rules.

Facial recognition payment (FRP) has been attracting attention as an alternative payment mode. This research aims to investigate the future use of FRP for both mobile payment and point of sale payment.

The body of information on this topic is promoted by proposing the valence framework, where the authors used relative advantage, initial trust, perceived playfulness and need for uniqueness as positive valence, and perceived risk, technophobia and perceived complexity as negative valence. This study also investigated the moderating effect of personal innovativeness on consumers' behavioral intention to use FRP-based payments. The authors collected data from 392 FRP users from China to test the model. The authors used structural equation modeling (SEM) to evaluate the significant determinants influencing FRP use.

The authors found that relative advantage and privacy risk are the two most influential predictors of FRP use. The findings indicate that personal innovativeness acts as a moderator between negative valence and behavioral intention. This study provides valuable policy guidelines for the mobile or point of sale (POS) payment companies for adding FRP service into their default payment method.

FRP is a relatively new technology that has not received much research attention in information system (IS) literature. Most studies on payment investigated enablers, and less effort has been given to study both enablers and inhibitors together. Furthermore, the authors employed SEM-based analysis to identify the most important factors influencing consumers' future use decisions.

In the era of m-learning environments, multiple factors have been considered to explain adult learners' continuance usage intention, but largely without considering the role of specific configurations of variables and how they may affect learners' intention. The purpose of this study is to show how cognitive need, subjective norms, perceived usefulness, satisfaction, confirmation, attitude and perceived ease of use combine to predict learners' frequent use intentions.

It is empirically validated through configurational analysis, using fuzzy-set qualitative comparative analysis (fsQCA) on 211 adult learners with experience in using Mobile learning applications (MLA).

The findings show learners' satisfaction of MLA usage combined with the cognitive need and attitude were found to be core conditions reinforcing learners' continuance intention.

This study was conducted in the context of adult learners MLA whereby the motivations for continued usage and the nature of technological innovation could differ. In this regard, findings from this study may not be generalizable to other technological contexts.

In the planning and development of learning apps, software developers should pay attention to practical functions and extend key features that are frequently required for solving a problem using the new skill. On the marketing side, MLA companies should emphasize the full functionality of their apps to cater efficiently to the different needs and expectations of the learners.

This study contributes by extending existing knowledge on how cognitive need, satisfaction and attitude combine to increase or mitigate continuance intention to use toward the development of new configurational theories. This study fills the gap in the literature by introducing adult learners' continuance intention to use MLA and introducing through a methodological approach of fsQCA in adult learners' context.

This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly.

An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling.

The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant.

This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers.

As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.