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Book part

Matt Bower

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to…

Abstract

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

Details

Design of Technology-Enhanced Learning
Type: Book
ISBN: 978-1-78714-183-4

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Book part

Esfandiar Maasoumi, Melinda Pitts and Ke Wu

We examine the cardinal gap between wage distributions of the incumbents and newly hired workers based on entropic distances which are well-defined welfare theoretic…

Abstract

We examine the cardinal gap between wage distributions of the incumbents and newly hired workers based on entropic distances which are well-defined welfare theoretic measures. Decomposition of several effects is achieved by identifying several counterfactual distributions of different groups. These go beyond the usual Oaxaca–Blinder decompositions at the (linear) conditional means. Much like quantiles, these entropic distances are well-defined inferential objects and functions whose statistical properties have recently been developed. Going beyond these strong rankings and distances, we consider weak uniform ranking of these wage outcomes based on statistical tests for stochastic dominance. The empirical analysis is focused on employees with at least 35 hours of work in the 1996–2012 monthly Current Population Survey (CPS). Among others, we find incumbent workers enjoy a better distribution of wages, but the attribution of the gap to wage inequality and human capital characteristics varies between quantiles. For instance, highly paid new workers are mainly due to human capital components, and in some years, even better wage structure.

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Essays in Honor of Peter C. B. Phillips
Type: Book
ISBN: 978-1-78441-183-1

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Article

Chandra Shekhar, Madhu Jain, Ather Aziz Raina and Javid Iqbal

The purpose of this paper is to study the performance metrics of redundant repairable machining system which is applicable in various systems like computer and…

Abstract

Purpose

The purpose of this paper is to study the performance metrics of redundant repairable machining system which is applicable in various systems like computer and communication system, manufacturing and production system, etc.

Design/methodology/approach

In the present investigation, the authors develop Markov model for the system consisting of identical active operating machines which are prone to breakdown. The operating machines are under the care of one permanent repair facility that provides time-sharing basis repair services. The maintenance is facilitated with the provision of standby machines of mixed type and permanent as well as additional repair facility. From the economic point of view, F-policy and N-policy to control the service and arrival of failed machines effectively are included.

Findings

For the performance analysis of the system in long run, the authors compute steady-state probabilities using product-type solution method recursively. Sensitivity analysis is performed numerically for various parameters by developing code in MATLAB.

Social implications

The performance prediction done may be helpful for the system designers and decision makers for the improvement of the existing machining systems in various industries.

Originality/value

Markovian model for the performance prediction of fault tolerant multi-identical operating and standby machines redundant system is developed in generic frameworks by incorporating many noble features which were not all taken together by other researchers working on the same lines. The key concepts incorporated for the modeling of the concerned system is: F-policy, N-policy, time-sharing, and sensitivity analysis of availability and cost function.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 6
Type: Research Article
ISSN: 0265-671X

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Article

Qingquan Xin, Ruitao Li and Sonia Wong

The purpose of this paper is to provide an introduction to the reverse mergers (RMs) conducted in the Chinese stock market by summarizing the regulatory system, surveying…

Abstract

Purpose

The purpose of this paper is to provide an introduction to the reverse mergers (RMs) conducted in the Chinese stock market by summarizing the regulatory system, surveying the literature on RMs and analyzing the major characteristics of 161 RM cases.

Design/methodology/approach

This paper introduces the characteristics and evolution of the regulatory framework governing RM activity in China. Then the paper reviews relevant academic studies on the RMs in China and other countries. Finally, the paper identifies and discusses the major characteristics of 161 RM cases in the Chinese stock market from 2006 to 2016.

Findings

Private companies that go public via RMs in China not only have superior asset quality but also demonstrate good accounting and stock price performance after listing, and these results are unlike those of studies on the quality of RMs in other countries.

Research limitations/implications

This paper is based on a survey of 161 RM cases in China’s stock market, with the major characteristics of the RMs being identified and analyzed. The limitations of previous studies and suggestions for further research are discussed.

Originality/value

This paper suggests that the relative superior performance of RMs in the Chinese stock market is caused by the interplay of market forces and regulatory oversight. The Chinese regulator’s pragmatic and flexible approach plays an important role in formulating regulatory policies that respond to the changing macroeconomic environment and financial markets.

Details

China Finance Review International, vol. 9 no. 1
Type: Research Article
ISSN: 2044-1398

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Article

Jihyun Lee

The purpose of this study is to develop and validate scales measuring two consumer moral preferences: Homo moralis and Homo economicus.

Abstract

Purpose

The purpose of this study is to develop and validate scales measuring two consumer moral preferences: Homo moralis and Homo economicus.

Design/methodology/approach

This research includes four sequential studies. Before the first study, items were established through a comprehensive literature review and pre-test. Four studies were then conducted to verify the validity and reliability of the scales following the scale validation methodology suggested by Churchill (1979) and Anand and Kaur (2018). Study 1 employed exploratory factor analysis to extract the underlying factor structure of the scale. This led to a two-factor structure with sufficient evidence of internal reliability. Study 2 and Study 3 were conducted to confirm the reliability and the validity of the scale using confirmatory factor analysis and Cronbach's alpha. The final study established the predictive validity of the scale using a structural equation model.

Findings

Finally, seven items were developed measuring consumers' moral preferences for Homo moralis and Homo economicus.

Research limitations/implications

This research has some limitations that should be addressed in future research. First, the scale was only tested in a Korean context. Second, this study was not conducted in the context of a specific industry.

Originality/value

This study extends the range of research to an empirical field by practically verifying how these two preferences are independent, can be generalized and can influence human behavior. This study empirically demonstrates that the preferences affect human behavior such as purchase intention. This study extends the current knowledge on Homo moralis and Homo economicus by providing a scale for empirical validation of the concepts.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 33 no. 2
Type: Research Article
ISSN: 1355-5855

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Article

Feiyan Han and Bo Li

E-commerce poverty alleviation (EPA) is an innovative poverty alleviation model in China. The institutional mechanisms of the e-commerce platform improve the effect of EPA…

Abstract

Purpose

E-commerce poverty alleviation (EPA) is an innovative poverty alleviation model in China. The institutional mechanisms of the e-commerce platform improve the effect of EPA and exert online shopping purchase power in rural China. From a socio-technical perspective, this paper used adoption readiness of farmers and perceived risk to construct an integrated model to discern the effect of enhanced e-commerce institutional mechanisms on farmers' online shopping intention in the context of EPA.

Design/methodology/approach

The survey included 832 valid samples from rural farmers in Shanxi province. This study analyses using structural equation modelling (SEM) and bootstrap methods used to empirically test the model.

Findings

Findings suggest that enhanced e-commerce institutional mechanisms have significant direct and indirect positive impacts on farmers' online shopping intention; adoption readiness and perceived risk play partial mediation roles in determining the relationship between farmers' online shopping intention and enhanced e-commerce institutional mechanisms; and the indirect mediation effect of adoption readiness is greater than that of perceived risk.

Research limitations/implications

Although the proposed model was supported in the questionnaire survey, the investigation method was not completely excluded. Future research can combine the method of panel data and apply the framework to other e-commerce platforms, as well as to other cultural settings.

Practical implications

The study suggests that enhanced e-commerce institutional mechanisms that are based on the needs of farmers from poverty-stricken areas change the shopping habits of farmers. Moreover, enhanced e-commerce institutional mechanisms should allow farmers' perceived adoption readiness to play its promoting role and reduce the impeding role of perceived risk. The results of this study are conducive to the intensive implementation of the ‘Three Rural Issues’ strategy in China.

Originality/value

A new model to generate a two-factor mediation effect model by integrating the perceived effectiveness of enhanced e-commerce institutional mechanisms with farmers, farmers' adoption readiness, perceived risk and online shopping intention. The study explored the relationship between enhanced e-commerce institutional mechanisms and farmers' online shopping intention, bridging the gap in related empirical studies. Besides, this study first proposed farmers' adoption readiness and clarifies the mediating role of farmers' adoption readiness and perceived risk, which highlights the previously unnoticed role of farmers' adoption readiness.

Details

Information Technology & People, vol. 34 no. 1
Type: Research Article
ISSN: 0959-3845

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Article

Jihyun Lee and Yuri Lee

The purpose of this paper is to examine the relationship between online retail therapy and consumers’ attitudes towards online fashion shopping malls (ATO) based on the…

Abstract

Purpose

The purpose of this paper is to examine the relationship between online retail therapy and consumers’ attitudes towards online fashion shopping malls (ATO) based on the stimulus–organism–response model.

Design/methodology/approach

This study examined how online retail therapy factors (e.g. the aesthetics of web design and attractiveness of the models) affect consumers’ ATO. In particular, the authors examined the mediation of positive mood reinforcement (PMR) and negative mood reduction (NMR).

Findings

The results indicated that aesthetics has a significant and direct effect on ATO. However, model attractiveness has an indirect effect on ATO through PMR and NMR. In addition, the direct effect of aesthetics on ATO is greater than the indirect effect of model attractiveness. Therefore, online fashion shopping malls need to concentrate on improving the aesthetics of the shopping malls. For fashion shopping malls that do not have the capacity to improve the aesthetics, it is possible to improve ATO by using highly attractive models.

Originality/value

This study applied the concept of retail therapy to the online environment and verified the effect. This study expanded the scope of the study of retail therapy by examining the effect of mood improvement on ATO as well. Further, this study examined the structure of two online retail therapy factors, aesthetics and model attractiveness, that affect ATO through PMR and NMR, and suggested managerial implications for online shopping malls.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 31 no. 2
Type: Research Article
ISSN: 1355-5855

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Article

Roberta De Cicco, Susana C. Silva and Francesca Romana Alparone

Chatbots represent an innovative channel for retailers to meet young customers' needs anywhere and at any time. Being an emergent technology, however, it is important to…

Abstract

Purpose

Chatbots represent an innovative channel for retailers to meet young customers' needs anywhere and at any time. Being an emergent technology, however, it is important to investigate more thoroughly how users perceive it, and which are the variables that enhance a positive attitude towards this technology. On this premise, this study applies a social relationship perspective to the design of chatbots addressed to younger consumers.

Design/methodology/approach

The study adopts a between-participants factorial design to investigate the effects of visual cues (avatar presence vs avatar absence) and interaction styles (social-oriented vs task-oriented) on social presence and how this, in turn, enhances millennials' perceived enjoyment, trust and, ultimately, attitude towards the chatbot. A survey experiment was employed to conduct the study on data collected from 193 Italian millennials.

Findings

The results show that applying a social-oriented interaction style increases users' perception of social presence, while an insignificant effect was found for avatar presence. The partial least square structural equation modeling (PLS-SEM) analysis further confirms the hypothesised model.

Originality/value

The adoption of new digital technologies such as chatbots is likely to have a far reaching effect on retailers, consumers, employees and society. For this reason, a broad understanding of the phenomenon is needed. To the best of our knowledge, this is the first study to provide results from an experimental design in which both interaction style (social- vs task-oriented) and avatar (presence vs absence) of a chatbot are manipulated to directly explore social presence and its effect on trust, perceived enjoyment and millennials' attitude towards a chatbot applied for retailing purposes.

Details

International Journal of Retail & Distribution Management, vol. 48 no. 11
Type: Research Article
ISSN: 0959-0552

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Article

Anil Gupta, Nikita Dogra and Babu George

This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.

Abstract

Purpose

This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.

Design/methodology/approach

A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis.

Findings

Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior.

Practical implications

The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity.

Originality/value

This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.

研究目的

本研究旨在于鉴定游客安装旅游手机APP的影响因素。

研究设计/方法/途径

本论文采用问卷形式进行采样。在389人的样本中,本研究共获得343有效数据以用于数据分析。

研究结果

经本研究鉴定,影响游客安装手机旅游APP的因素包括:性能预期、社会影响力、节约成本、感知风险、使用习惯。其中,使用动机为影响因素(使用习惯除外)是作用于使用行为的中间变量。与原本研究预期相左,诸如享乐主义的动机、便利条件、以及努力期望等因素对使用动机和使用行为并没有显著作用。

研究应用价值

本研究结果对于APP开发商将如何达到游客期望有着至关重要的启迪。开发商往往会专注于APP的物理性能方面的开发,忽视了其他影响APP使用的因素作用。本论文其中一个重要的实际应用价值在于,虽然旅游业是享乐主义的活动,旅游APP的使用行为却大相径庭。

研究原创性/价值

本研究是少数几篇以新型经济体为背景,采用延伸整合型科技接受模式(UTAUT2)为理论框架,研究旅游APP使用情况的论文。

Details

Journal of Hospitality and Tourism Technology, vol. 9 no. 1
Type: Research Article
ISSN: 1757-9880

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Article

Chi Zhou, Geni Xu and Zhibing Liu

Internet referral services are a common form of online marketing operating activities. To incentivize infomediaries and improve referral performance, brand retailers…

Abstract

Purpose

Internet referral services are a common form of online marketing operating activities. To incentivize infomediaries and improve referral performance, brand retailers typically apply the cost-per-click (CPC) or the cost-per-sale (CPS) payments. The purpose of this paper is to investigate the effect of referral services on the optimal contract with CPC or CPS payments.

Design/methodology/approach

This paper studies a mechanism design problem for internet referral services. To maximize the expected utility of the brand retailer, an uncertain contract model is established in which the brand retailer's assessment of the infomediary's referral service capability is characterized as an uncertain variable. Then equivalent models under CPC and CPS payments are presented to obtain the optimal solutions.

Findings

The results demonstrate that under CPC payments, as the referral service capability increases, the optimal sales volume is increasing, and the optimal transfer payment first shows a declining and then a rising trend. The brand retailer is less likely to raise the optimal transfer payment for the infomediary given a higher CPC revenue-sharing fee percentage, which is counterintuitive. Under CPS payments, the optimal sales volume and transfer payment are also increasing in the referral service capability. In addition, an increase in the click-through rate leads to the infomediary's incremental marginal utility.

Originality/value

The value of this research is its application of incentive contracts to the internet referral services considering CPC or CPS payments. The results of this research can serve as a guide for retailers and infomediaries in their decision-making around online retailing.

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