Sisi Xing, Aidong Peng and Yihong Mao
This paper aims to propose some suggestions for libraries and other digital reading service institutions to improve the utilization rate of e-books, based on the theoretical and…
Abstract
Purpose
This paper aims to propose some suggestions for libraries and other digital reading service institutions to improve the utilization rate of e-books, based on the theoretical and empirical analysis of the perception behaviour characteristics of e-book selection under the allocation of limited cognitive resources.
Design/methodology/approach
From the perspective of key perception points, this paper studies the key perception points of selecting e-books through the experimental method and explores the influence of subject factors (users’ characteristics, users’ needs) on users’ e-book perception behaviour.
Findings
College students have selective attention in the process of selecting e-books. They will choose some important contents of e-books, such as title, book introduction, author, catalogue, reader comments, others’ recommendations, read leaderboard, to perceive and there is an obvious difference in perception intensity. Different personal traits and reading needs have a great influence on users’ perception points. Libraries and other digital reading service institutions should provide promotion information based on key perception points of e-books, develop personalized e-book service and promotion and optimize the expression of key perception points of e-books.
Originality/value
This paper presents a valuable study attempting to introduce cognitive resource theory into the field of digital reading service, which proves that users also have limited cognitive resource allocation in the process of selecting digital books.
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Heba Salah Zaki and Bassam Samir Al-Romeedy
Artificial intelligence-based chatbots are frequently used to handle customer complaints in the hospitality and tourism sectors; however, little is known about their recovery…
Abstract
Purpose
Artificial intelligence-based chatbots are frequently used to handle customer complaints in the hospitality and tourism sectors; however, little is known about their recovery strategies. Further, the widespread usage of chatbots is anticipated to affect customers' favorable responses. Therefore, this study aims to examine how chatbots’ symbolic recovery influences customer forgiveness through customer empathy and explore the moderating effect of time pressure on it. Moreover, it investigates the effect of customer forgiveness on customer reconciliation and customer continuous trust.
Design/methodology/approach
Structural equation modeling was used to analyze data collected from 994 customers who have experienced chatbot recovery in tourism and hospitality during the past four months.
Findings
The results show that chatbots’ symbolic recovery stimulates customer forgiveness, which subsequently positively affects customer reconciliation and customer continuous trust. Moreover, customer empathy partially mediates the effect of chatbots’ symbolic recovery on customer forgiveness, and time pressure plays a moderating role in the relationship between chatbots’ symbolic recovery and customer forgiveness.
Practical implications
The results offer highly persuasive insights that may be used to promote chatbots’ symbolic recovery in tourism organizations. The effectiveness of chatbots’ symbolic recovery in achieving customer forgiveness will motivate tourism organizations to use chatbots efficiently in service recovery.
Originality/value
This study extends the theoretical scope of chatbot research by investigating the symbolic recovery capabilities of chatbots. Moreover, it expands the application of SOR theory in the context of chatbot service recovery and reveals the underlying mechanism behind the impact of chatbots’ symbolic recovery on customer forgiveness, thus building and testing an integrative model of chatbot service recovery.
研究目的
系统评估阻碍因素作为技术接受模型(TAM)的先驱方面存在一定的空白。本研究调查了三个阻碍因素, 即不适感、不安全感和风险。此外, 本研究提出了调节变量 - 个人能力(PC), 并测试其对感知有用性(PU)、感知易用性(PEU)和行为意图(BI)之间关系的影响。
研究方法
使用量化数据分析验证了通过Smart PLS4使用的调整模型。对327名有效受访者的数据进行了分析。
研究发现
不适感是影响PU和PEU的显著先驱因素。不安全感和风险分别是PEU和PU的抑制因素。本研究在稀缺文献中贡献了个人能力的调节效应, 积极调节PU和BI之间影响的研究。
研究创新
本研究通过纳入阻碍因素并探索个人能力在AR眼镜方面的调节作用, 为TAM提供了一种新的拓展。此外, 该研究还使创新公司能够通过用户的反馈来增强其产品和服务的设计。
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Kong Lingfu, Safia Bano, Ummi Naiemah Saraih, Naimatullah Shah and Bahadur Ali Soomro
In today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university…
Abstract
Purpose
In today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university students in Pakistan, examines the roles of digital aspects in moving toward digital innovation (DI) and digital entrepreneurship (DE).
Design/methodology/approach
The study is based on quantitative and cross-sectional data. A survey questionnaire was used to obtain responses from respondents recruited through the convenience sampling technique.
Findings
The results from structural equation modeling (SEM) analysis suggest significant effects of technology orientation (TO), entrepreneurial orientation (EO), and DI on DE. The impact of DI on DE is also significant. On the other hand, digital technology self-efficacy (DTSE) is not found to be a significant predictor of DI and DE. Moreover, DI is found to be a significant mediator, which mediates the relationships of TO and EO with DE. On the contrary, DI did not mediate the significant relationship between DTSE and DE.
Practical implications
The study’s findings would benefit policymakers and planners in developing policies to encourage the usage of digital technologies to provide solutions in entrepreneurship. The findings also support promoting DE to tackle business challenges and achieve organizational and academic goals.
Originality/value
The study emphasizes the roles of digital technology, innovation, and entrepreneurship in a developing context.
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Chetanya Singh, Manoj Kumar Dash, Rajendra Sahu and Anil Kumar
Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively…
Abstract
Purpose
Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.
Design/methodology/approach
The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.
Findings
Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.
Research limitations/implications
The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.
Originality/value
To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.
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The aim of the paper is to shed light on the use of chitosans and chitooligosaccharides as biopreservatives in various foods animal. Foods of animal and aquatic origin (milk…
Abstract
Purpose
The aim of the paper is to shed light on the use of chitosans and chitooligosaccharides as biopreservatives in various foods animal. Foods of animal and aquatic origin (milk, meat, fish, eggs, sea foods, etc) become contaminated with a wide range of microorganisms (bacteria, molds and yeasts) during harvesting, transporting, processing, handling and storage operations. Due to the perishable nature of these foods, their preservation is of utmost importance. Though many synthetic chemicals are available, yet their use is quite restricted due to their hazardous effects on human health.
Design/methodology/approach
Within the domain of food industry, traditionally chitosan is used for biopreservation of foods, which is well known for its nutritional and medicinal properties in human nutrition. However, chitooligosaccharides also possess a number of nutraceutical and health promoting properties in addition to their preservative effect and shelf-life extension of foods. In this study, the comparative effects of both chitosan and chitooligosaccharides on preservation of foods of animal and aquatic origin have been summarized.
Findings
Though chitosan has been extensively studied in various foods, yet the use of chitooligosaccharides has been relatively less explored. Chitooligosaccharides are bioactive molecules generated from chitosan and have several advantages over the traditional use of chitosan both in food products and on human health. But unfortunately, little or no literature is available on the use of chitooligosaccharides for preservation of some of the foods of animal origin. Notable examples in this category include cheese, beef, pork, chicken, fish, sea foods, etc.
Originality/value
This paper focuses on the effects of chitosans and chitooligosaccharides on the processing and storage quality of foods of animal and aquatic origin, which offers a promising future for the development of functional foods.
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Baher Rahma, Tomaž Kramberger, Mahmoud Barakat and Ahmed Hussein Ali
In recent years, the global focus has increasingly shifted toward the adoption of electric vehicles (EVs) due to growing concerns about environmental sustainability and the…
Abstract
Purpose
In recent years, the global focus has increasingly shifted toward the adoption of electric vehicles (EVs) due to growing concerns about environmental sustainability and the imperative of reducing greenhouse gas emissions. The transportation sector, a significant contributor to air pollution and climate change, faces increasing pressure to embrace EVs as a solution. However, the resistance exhibited by customers toward adopting new technology poses a substantial obstacle to the widespread adoption of EVs. Drawing on the link between theory of reasoned action (TRA) and self-congruity theory, this research aims to determine the factors that affect the customer intention toward EV.
Design/methodology/approach
The research conducts a questionnaire collecting 950 respondents from the Egyptian market. The research used primary quantitative data from online and self-administered questionnaires.
Findings
The findings indicated that green trust, price sensitivity and reliability have a positive impact on customer’s intention. However, self-image congruence was not affecting customer intention. For the moderating role of financial self-efficacy, it is affecting the relationship between price sensitivity and customer’s purchase intentions toward EV.
Research limitations/implications
This research will expand the theory by conceptualizing its abstract notions through research variables and implementing them in the Egyptian market. Furthermore, it links the two distinct theories. This knowledge can be utilized by policymakers and stakeholders to expedite the adoption of EVs in the Egyptian market.
Originality/value
This study presents a conceptual framework for managers and policymakers about the factors that affect the customer to buy EVs, since the international organizations emphasize eco-friendly transportation systems.
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Long Liu, Lifeng Wang and Ziwang Xiao
The combination of an Engineered Cementitious Composite (ECC) layer and steel plate to reinforce RC beams (ESRB) is a new strengthening method. The ESRB was proposed based on the…
Abstract
Purpose
The combination of an Engineered Cementitious Composite (ECC) layer and steel plate to reinforce RC beams (ESRB) is a new strengthening method. The ESRB was proposed based on the steel plate at the bottom of RC beams, aiming to solve the problem of over-reinforced RC beams and improve the bearing capacity of RC beams without affecting their ductility.
Design/methodology/approach
In this paper, the finite element model of ESRB was established by ABAQUS. The results were compared with the experimental results of ESRB in previous studies and the reliability of the finite element model was verified. On this basis, parameters such as the width of the steel plate, thickness of the ECC layer, damage degree of the original beam and cross-sectional area of longitudinal tensile rebar were analyzed by the verified finite element model. Based on the load–deflection curve of ESRB, ESRB was discussed in terms of ultimate bearing capacity and ductility.
Findings
The results demonstrate that when the width of the steel plate increases, the ultimate load of ESRB increases to 133.22 kN by 11.58% as well as the ductility index increases to 2.39. With the increase of the damage degree of the original beam, the ultimate load of ESRB decreases by 23.7%–91.09 kN and the ductility index decreases to 1.90. With the enhancement of the cross-sectional area of longitudinal tensile rebar, the ultimate bearing capacity of ESRB increases to 126.75 kN by 6.2% and the ductility index elevates to 2.30. Finally, a calculation model for predicting the flexural capacity of ESRB is proposed. The calculated results of the model are in line with the experimental results.
Originality/value
Based on the comparative analysis of the test results and numerical simulation results of 11 test beams, this investigation verified the accuracy and reliability of the finite element simulation from the aspects of load–deflection curve, characteristic load and failure mode. Furthermore, based on load–deflection curve, the effects of steel plate width, ECC layer thickness, damage degree of the original beam and cross-sectional area of longitudinal tensile rebar on the ultimate bearing capacity and ductility of ESRB were discussed. Finally, a simplified method was put forward to further verify the effectiveness of ESRB through analytical calculation.
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Qianling Jiang, Zheng Wang and Jie Sun
The rise of interactive fitness games in the post-epidemic era has resulted in the need to establish a quality evaluation index system. This study aims to develop such a system…
Abstract
Purpose
The rise of interactive fitness games in the post-epidemic era has resulted in the need to establish a quality evaluation index system. This study aims to develop such a system and provide a reference for enhancing the quality of interactive fitness games.
Design/methodology/approach
To achieve this, interviews and questionnaires were conducted to identify the factors that influence the quality of interactive fitness games. The Kano model and SII (Satisfaction Increment Index)-Dissatisfaction Decrement Index (DDI) two-dimensional quadrant analysis were then used to explore differences in quality judgment between males and females, as well as their priorities for improving interactive fitness games.
Findings
The study revealed that males and females have different quality judgments for “rich and diverse content,” “motivational value,” “sensitive motion recognition detection” and “portability.” However, both genders share similar views on the other quality factors. In addition, the study identified differences in the priority of improvement between men and women. “Very interesting,” “effective fitness achievement,” “motivating fitness maintenance,” “sensitive motion recognition detection,” “portability” and “educational value” were found to be of higher priority for men than women.
Originality/value
These findings provide a valuable theoretical reference for developers and designers of interactive fitness games seeking to enhance the user experience.
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Jiuhong Yu, Mengfei Wang, Yu J.H. and Seyedeh Maryam Arefzadeh
This paper aims to offer a hybrid genetic algorithm and the ant colony optimization (GA-ACO) algorithm for task mapping and resource management. The paper aims to reduce the…
Abstract
Purpose
This paper aims to offer a hybrid genetic algorithm and the ant colony optimization (GA-ACO) algorithm for task mapping and resource management. The paper aims to reduce the makespan and total response time in fog computing- medical cyber-physical system (FC-MCPS).
Design/methodology/approach
Swift progress in today’s medical technologies has resulted in a new kind of health-care tool and therapy techniques like the MCPS. The MCPS is a smart and reliable mechanism of entrenched clinical equipment applied to check and manage the patients’ physiological condition. However, the extensive-delay connections among cloud data centers and medical devices are so problematic. FC has been introduced to handle these problems. It includes a group of near-user edge tools named fog points that are collaborating until executing the processing tasks, such as running applications, reducing the utilization of a momentous bulk of data and distributing the messages. Task mapping is a challenging problem for managing fog-based MCPS. As mapping is an non-deterministic pol ynomial-time-hard optimization issue, this paper has proposed a procedure depending on the hybrid GA-ACO to solve this problem in FC-MCPS. ACO and GA, that is applied in their standard formulation and combined as hybrid meta-heuristics to solve the problem. As such ACO-GA is a hybrid meta-heuristic using ACO as the main approach and GA as the local search. GA-ACO is a memetic algorithm using GA as the main approach and ACO as local search.
Findings
MATLAB is used to simulate the proposed method and compare it to the ACO and MACO algorithms. The experimental results have validated the improvement in makespan, which makes the method a suitable one for use in medical and real-time systems.
Research limitations/implications
The proposed method can achieve task mapping in FC-MCPS by attaining high efficiency, which is very significant in practice.
Practical implications
The proposed approach can achieve the goal of task scheduling in FC-MCPS by attaining the highest total computational efficiency, which is very significant in practice.
Originality/value
This research proposes a GA-ACO algorithm to solve the task mapping in FC-MCPS. It is the most significant originality of the paper.