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Article
Publication date: 12 October 2017

Yu-Hui Fang

Providing that branded applications (apps) became a new trend in mobile marketing, the purpose of this study, thus, is to explore how to promote app users’ continuance intention…

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Abstract

Purpose

Providing that branded applications (apps) became a new trend in mobile marketing, the purpose of this study, thus, is to explore how to promote app users’ continuance intention and purchase intention (i.e. “app continuance”) toward a specific branded app.

Design/methodology/approach

By integrating both goods-dominant logic (GDL) and service-dominant logic (SDL), this study uses a unifying model to examine whether perceived usefulness and task-service fit (TSF) have different effects on the two parts of app continuance. This study identifies task characteristic and four service characteristics (interactivity, presence, localization and ubiquity) as antecedents of TSF. Furthermore, psychological barriers are examined as mediators of TSF and purchase intention within SDL. Data collected from 631 users of the targeted branded apps support all of the proposed hypotheses.

Findings

The findings show that besides perceived usefulness, TSF is an essential determinant of both app continuance in the context of branded apps and a partial mediator of psychological barriers between TSF and purchase intention.

Originality/value

Unlike prior studies, which have focused on traditional GDL to examine continuance intention, this study incorporates SDL and the notion of psychological barriers to explore such matters. The evidence concerning the significantly higher explanatory power of the full model suggests that a deeper understanding of the antecedents of app continuance is possible when the alternative view is taken into consideration, thus providing a promising avenue for future research.

Details

Journal of Services Marketing, vol. 31 no. 6
Type: Research Article
ISSN: 0887-6045

Keywords

Article
Publication date: 4 June 2020

Yu-Hui Fang, Chia-Ying Li and Zeeshan Ahmed Bhatti

Numerous companies have launched brand pages (BPs) on social networking sites to enhance customer-brand communication, cultivate the customer-brand relationship and promote brand…

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Abstract

Purpose

Numerous companies have launched brand pages (BPs) on social networking sites to enhance customer-brand communication, cultivate the customer-brand relationship and promote brand loyalty. This study aims to investigate how BP affordances support social commerce.

Design/methodology/approach

The study devises a theoretical model linking the proposed BP affordances (visibility, selectivity, persistence and interactivity) to three customer values (relationship quality, brand experience and smart shopping feeling [SSF]) to encourage brand loyalty and BP endorsement on the part of the customer.

Findings

Data collected from 591 respondents support all proposed hypotheses. The model explains high variances in brand loyalty and BP endorsement, indicating that relationship quality plays a more salient role in producing brand loyalty, while SSF plays a more important role in eliciting BP endorsement.

Originality/value

The study is unique in four ways. First, drawing on the lens of affordance, it proposes specific affordances for BPs and offers empirical results for their applicability. Second, by incorporating CDL into the research model, it illuminates the high explanatory power of these proposed BP affordances on the three customer values. Integrating the S-O-R model with the affordance perspective and CDL provides a more complete picture of the BP phenomenon. Third, it extends the reach of existing work by examining BP endorsement in social media as a dependent variable beyond brand loyalty, with SSF included as another source of values to shed more light on the relationships depicted in the model. Fourth, by taking trait competitiveness into account, it sheds further light on relationships between customer values and BP endorsement.

Details

Information Technology & People, vol. 34 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 11 October 2019

Ghulam Ali Arain, Zeeshan Ahmed Bhatti, Imran Hameed and Yu-Hui Fang

This paper aims to examine the consequences for innovative work behavior (IWB) of top-down knowledge hiding – that is, supervisors’ knowledge hiding from supervisees (SKHS)…

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Abstract

Purpose

This paper aims to examine the consequences for innovative work behavior (IWB) of top-down knowledge hiding – that is, supervisors’ knowledge hiding from supervisees (SKHS). Drawing on social learning theory, the authors test the three-way moderated-mediation model in which the direct effect of SKHS on IWB is first mediated by self-efficacy and then further moderated by supervisor and supervisee nationality (locals versus foreigners).

Design/methodology/approach

The authors collected multi-sourced data from 446 matched supervisor-supervisee pairs working in a diverse range of organizations operating in the Kingdom of Saudi Arabia. After initial data screening, confirmatory factor analysis was conducted to test for the factorial validity of the used measures with AMOS. The hypothesized relationships were tested in regression analysis with SPSS.

Findings

Results showed that SKHS had both direct and mediation effects, via the self-efficacy mediator, on supervisee IWB. The mediation effect was further moderated by supervisor and supervisee nationality (local versus foreigners), which highlighted that the effect was stronger for supervisor–supervisee pairs that were local-local or foreigner-foreigner than for pairs that were local-foreigner or foreigner-local.

Originality/value

This study contributes to both knowledge hiding and IWB literature and discusses the useful theoretical and practical implications of the findings.

Details

Journal of Knowledge Management, vol. 24 no. 2
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 12 August 2011

Yu‐Hui Fang, Chao‐Min Chiu and Eric T.G. Wang

The aim of this study is to extend DeLone and McLean's IS success model by introducing justice – fair treatments received from the exchanging party – and trust into a theoretical…

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Abstract

Purpose

The aim of this study is to extend DeLone and McLean's IS success model by introducing justice – fair treatments received from the exchanging party – and trust into a theoretical model for studying customers' repurchase intentions in the context of online shopping.

Design/methodology/approach

The research model was tested with data from 219 of PCHome's online shopping customers using a web survey. PLS (partial least squares) was used to analyze the measurement and structural models.

Findings

Data collected from 219 valid respondents provided support for all but one hypotheses (with a p‐value of less than 0.05). The unsupported hypothesis regards the relationship between service quality and satisfaction (H4). The study shows that trust, net benefits, and satisfaction are significant positive predictors of customers' repurchase intentions toward online shopping. Information quality, system quality, trust, and net benefits, are significant determinants of customer satisfaction. Besides, online trust is built through distributive, procedural, and interactional justice. Overall, the research model accounted for 79 percent of the variance of repurchase intention.

Originality/value

An endeavor to extend the updated IS success model in terms of the peculiar nature of e‐commerce is needed. The study complements the updated IS success model with justice trust perspectives, considering them a more comprehensive measure of online shopping satisfaction and repurchase intention in an e‐commerce context.

Article
Publication date: 7 August 2009

Chao‐Min Chiu, Chen‐Chi Chang, Hsiang‐Lan Cheng and Yu‐Hui Fang

The purpose of this paper is to understand customers' repurchase intentions in online shopping. This study extends the technology acceptance model (TAM) by introducing e‐service…

30535

Abstract

Purpose

The purpose of this paper is to understand customers' repurchase intentions in online shopping. This study extends the technology acceptance model (TAM) by introducing e‐service quality dimensions, trust and enjoyment in the development of a theoretical model to study customers' repurchase intentions within the context of online shopping.

Design/methodology/approach

Data collected from 360 PCHome online shopping customers provides strong support for the proposed research model. PLS (partial least squares, PLS‐Graph version 3.0) is used to analyse the measurement and structural models.

Findings

The study shows that trust, perceived ease of use, perceived usefulness and enjoyment are significant positive predictors of customers' repurchase intentions.

Research limitations/implications

The data are collected from a single online shopping store – the generalisation of the model and findings to other online stores requires additional research. Our findings imply that the five dimensions of e‐service quality are possibly among the most important antecedents of customers' trust in online vendors.

Practical implications

Online vendors should ensure that they provide adequate utilitarian and hedonic value for customers instead of focusing on just one of these aspects in their web site development.

Originality/value

Customer loyalty is critical to the online vendor's survival and success. The study provides evidence that online trust is built through order fulfilment, privacy, responsiveness and contact.

Details

Online Information Review, vol. 33 no. 4
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 27 March 2020

Yu hui Fan, Pan pan Liu, Bo Shen, Kejian Ma, Bang Wu, Tianhong Zheng and Fang Yang

The reinforced concrete open-web sandwich slab is composed of upper rib, lower rib, surface plate and shear key and was applied to long-span structure crossing at 18–30 m. The…

Abstract

Purpose

The reinforced concrete open-web sandwich slab is composed of upper rib, lower rib, surface plate and shear key and was applied to long-span structure crossing at 18–30 m. The shear-bearing capacity of shear key, having vital effects on the slab’s bearing capacity, is analysed to present its calculation formula used for the engineering application of the slab.

Design/methodology/approach

The shear-bearing capacity of shear key is analysed by the strut-and-tie model and the benchmark model established by the finite element method. Furthermore, the design formula of its shear capacity is given by the parametric analysis of FEM to adjust the result of the strut-and-tie model, using multivariate linear regression analysis of these parameters.

Findings

The calculation result of the benchmark model is compared with those of the strut-and-tie model and the standard formula, which indicates that the result of the strut-and-tie model is closer to that of the benchmark model than that of the standard formula. Moreover, the parametric analysis of the finite element model indicates that the volume–stirrup ratio of the shear key and the compression strength of the concrete have lesser effect on the shear capacity compared with the longitudinal reinforcement ratio and the shear-to-span ratio of the shear key and the relative section height of the rib.

Originality/value

The shear capacity of the shear key is provided in the paper by combining the finite element method and the strut-and-tie model, which is different from the calculation of the shear key in local codes and Chinese code, based on the theory of short corbel and the experiment of member. Furthermore, the formula of the shear capacity could be employed in the design and construction of the RC open-web sandwich slab, mainly used in the public and industrial multi-story building with long span to save the dwindling land resource currently.

Details

International Journal of Structural Integrity, vol. 12 no. 2
Type: Research Article
ISSN: 1757-9864

Keywords

Article
Publication date: 10 October 2016

Anil Gurung and M.K. Raja

Privacy and security concerns of consumers have been touted as one of the hindrances to the growth of e-commerce. These concerns increase the risk perception of consumers…

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Abstract

Purpose

Privacy and security concerns of consumers have been touted as one of the hindrances to the growth of e-commerce. These concerns increase the risk perception of consumers. Understanding the consequences of privacy and security concerns and their relationship to risk perceptions may provide a solution. The relationship between privacy and security is investigated using the theory of planned behavior. The study aims to examine the relationship of trust, privacy and security concerns to the risk perception adoption of e-commerce. The results from a survey validate the model.

Design/methodology/approach

Data were collected using survey from undergraduate business students. The respondents were requested to select a specific product that they plan to purchase in the next six months. After selecting a product, the respondents were requested to report an online company that they have recently visited which offers the selected product. The respondents were requested to fill out the survey with regard to their selected online company. Time given was approximately 20 min.

Findings

The results suggest that privacy and security concerns and trust beliefs had effects on risk perception. Among these effects, trust had the largest effect followed by privacy and security concerns. Furthermore, risk perception and trust beliefs had effects on attitude. The effect of trust beliefs on attitude was larger than the effect of risk perception on attitude. Similarly, subjective norm, perceived behavioral control and attitude had a positive and direct effect on intention to be involved in e-commerce.

Research limitations/implications

The first limitation of this study is the use of student subjects. Because this study took place in an educational setting, its generalizability to the general population of consumers lacks to some degree. The second limitation of this study is mono-method bias.

Practical implications

The effect of privacy concerns on risk perception was larger than that of security concerns. Because the consumers get more experienced and sophisticated using the Web, the security concerns that they may have had at the beginning are not reflected in their risk perceptions. It is likely that they have adopted protective measures on their own to defend their privacy online. An example of such a measure would be providing false information to online companies when asked to submit personal information.

Originality/value

The major contributions of this study are developing and validating an integrative framework of e-commerce adoption at the individual level. The model includes privacy and security concerns, risk perception and trust beliefs. This study also highlighted the distinction of constructs of privacy and security concerns and showed their differential effects on other related constructs in the research model.

Details

Information & Computer Security, vol. 24 no. 4
Type: Research Article
ISSN: 2056-4961

Keywords

Article
Publication date: 12 March 2018

Shuhong Wang, Hui Yu and Malin Song

As the functions of environmental regulations cannot be quantified while assessing their environmental efficiency, there has been no comprehensive evaluation of environmental…

Abstract

Purpose

As the functions of environmental regulations cannot be quantified while assessing their environmental efficiency, there has been no comprehensive evaluation of environmental efficiency. The purpose of this paper is to evaluate environmental regulations based on triangular and trapezoidal fuzzy numbers.

Design/methodology/approach

This paper uses L-R fuzzy numbers to transform the evaluation language into triangular fuzzy numbers, and adopts an α-level flexible slacks-based measurement model to evaluate the performance of these regulations. Trapezoidal fuzzy numbers are combined with a data envelopment analysis model, and an α-slack-based measurement (SBM) model is used to evaluate the environmental efficiency. The α-SBM model is confirmed to be stable and sustainable.

Findings

Relevant index data from 16,375 enterprises were collected to test the proposed model, and models corresponding to triangular fuzzy numbers and trapezoidal fuzzy numbers were used to evaluate their environmental efficiency. Comparative results showed that the proposed model is feasible and stable.

Originality/value

The main contributions of this study are twofold. First, this paper provides a valuable evaluation method for environmental regulation. Second, our research improves the practical performance of trapezoidal fuzzy data envelopment analysis and enhances its feasibility and stability.

Details

Industrial Management & Data Systems, vol. 118 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 17 August 2012

Zhang Jie and Zhu Jian‐Jun

The purpose of this paper is to research attribute reduction and decision making by gray dual‐information, taking into account the attribute reduction of attribute decision…

Abstract

Purpose

The purpose of this paper is to research attribute reduction and decision making by gray dual‐information, taking into account the attribute reduction of attribute decision unknown for the interval gray numbers.

Design/methodology/approach

The authors obtain the attribute weights considering the consistency of experts’ judgment matrixes and the decision matrixes with gray information. They propose some experts’ attribute reduction ideas based on interval gray numbers of rough set. With the help of experts’ decision information, they consider attribute uncertainty ratio and attribute value ratio to reduce attribute. Finally, a numerical example shows its feasibility.

Findings

Some experts’ attribute reduction ideas are proposed based on interval gray numbers of rough set. With the help of experts’ decision information, attribute uncertainty ratio and attribute value ratio to reduce attribute can be considered.

Originality/value

Attribute reduction is keeping classified information systems under the same conditions and deleting redundant and irrelevant or unimportant attributes in order to solve the problem of decision making. This paper considers the attribute reduction based on gray dual‐information.

Details

Grey Systems: Theory and Application, vol. 2 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 18 February 2021

Feng Deng

International research has found that Homeowners Association (HOA) is capitalized in housing price in the West. Is that result applicable in Chinese cities? In China there is also…

Abstract

Purpose

International research has found that Homeowners Association (HOA) is capitalized in housing price in the West. Is that result applicable in Chinese cities? In China there is also widespread applause for HOA. Will that leave trail in the housing market? This paper aims to answer these questions by presenting empirical evidence from 113 private gated communities in Chongqing, China.

Design/methodology/approach

The data set comes from three different sources including a telephone survey. The research methodology includes hedonic models with an endogenous dummy variable of the presence of HOA in a community.

Findings

HOA is not capitalized in housing price.

Research limitations/implications

The empirical finding helps to explain why about 80% of private communities in big Chinese cities have not formed an HOA.

Originality/value

This is the first empirical study on HOA capitalization in housing price in China.

Details

International Journal of Housing Markets and Analysis, vol. 15 no. 1
Type: Research Article
ISSN: 1753-8270

Keywords

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