scholarly journals Relationship Marketing in Tertiary Education: Empirical Study of Relationship Commitment and Student Loyalty in Hong Kong

2018 ◽  
Vol 11 (2) ◽  
pp. 205
Author(s):  
Wong H ◽  
Wong R ◽  
Leung S

This study attempts to investigate the applicability of relationship marketing concepts in the private tertiary education industry. With the rapid growth of tertiary education and new academic structure in Hong Kong, it is interesting to investigate the relationship between relationship commitment and student loyalty, and the key determinants of relationship commitment, in a leading private tertiary education institution in Hong Kong. Questionnaires were designed to collect data, and structural equation modeling approach was adopted to evaluate the explanatory power and casual links of the model. The results indicate that relationship commitment is a driver of student loyalty. Relationship benefits and trust are found to have positive influence on relationship commitment. Relationship termination costs and shared values are found to have non-significant roles in determining relationship commitment in private tertiary education environment, while shared value has a significant positive impact on trust. The research provides new insights to the management of private tertiary education providers in building relationship with students and resources allocation. The study discusses the implications of the findings and suggests areas for future research.

Author(s):  
Ying Chieh Liu

Although virtual teams have been widely utilized nowadays, social relationships are considered highly problematic within virtual teams. This study addresses social dimensions to provide suggestions for mangers to improve the performance and satisfaction of virtual teams. We build a model derived from a comprehensive literature review and conduct an experiment to validate it through Structural Equation Modeling. The results reveal: (1) communication has a direct positive impact on relationship building, but indirect positive effects on performance and satisfaction; (2) relationship building impacts directly with strong and positive impacts on cohesion and trust, but indirectly with strong impacts on performance and satisfaction ; (3) cohesion has a direct, strong and positive impact on performance but a strong indirect impact on satisfaction; (4) trust has a positive direct impact on performance but an indirect positive impact on satisfaction; (5) performance has a strong and positive impact on satisfaction. In addition, this study confirms that relationship building is a vital mediator in the social relationship model. Managerial implications and future research directions are identified.


2019 ◽  
Vol 14 (4) ◽  
pp. 521-539 ◽  
Author(s):  
Rimantas Gatautis† ◽  
Egle Vaiciukynaite ◽  
Asta Tarute

Purpose Business model innovations (BMIs), their drivers and outcomes are attracting increasing attention in academic literature. However, previous studies have mainly focused on large companies, while knowledge of BMI in small-to-medium-sized enterprises (SMEs) is limited. Therefore, the purpose of this paper is to add new insights into how related BMI drivers, practices and outcomes are in relation to SMEs. Design/methodology/approach An extensive review of the existing literature was performed. Consequently, the relationships between BMI drivers, BMI practices and outcomes of BMI were developed as a conceptual framework. An empirical study was carried out. A structural equation modeling (SEM) procedure was used to empirically test the model using a quantitative data set of Lithuanian SMEs (n=73). Findings The study provides insights into the relations between BMI drivers, BMI practices and outcomes of BMI in SMEs. The findings of SEM, four drivers (innovation activities, strategic orientation, market and technology turbulence, respectively) are indicated to contribute to BMI of SMEs. In addition, the results proved that the implementation of BMI practices leads to strategic and architectural changes in firms and has a positive impact on SMEs performance and innovativeness. Research limitations/implications Empirical research is focused on a limited number of internal and external BMI drivers, which have an influence on BMI in SMEs from one geographical region. Consequently, there are many external and internal BMI drivers which also may have an influence on BMI in SMEs, such as industry life cycle, organizational inertia and leadership. Meanwhile, SMEs possess multiple characteristics, i.e. a phase of maturity, gender of CEO, firm size and industry; therefore, the aforesaid aspects are considered to be significant limitations. In addition, the importance of SMEs characteristics as mediators for the effects on a firm’s performance and innovativeness should be considered in future research avenues. Practical implications Findings of this research can be used by SME managers to better understand how firms might actively engage in BMI practices, what drivers lead to BMI and, in turn, affect their firm’s performance and innovativeness. SME managers should be encouraged to pay attention to strategic and architectural changes of BM that can contribute to enterprise performance and innovativeness. Originality/value This paper adds to the stream of BMI research by empirically exploring drivers and outcomes of BMI in SMEs. In addition, this paper fulfills research gaps proposed by Bouwman et al. (2018), Foss and Saebi (2017), Heikkilä, Bouwman and Heikkilä (2018) and Lambert and Davidson (2013), and enhances the current overall understanding of BMIs.


2020 ◽  
Vol 31 (4) ◽  
pp. 749-774 ◽  
Author(s):  
Tahir Iqbal ◽  
Muhammad Shakeel Sadiq Jajja ◽  
Mohammad Khurrum Bhutta ◽  
Shahzad Naeem Qureshi

PurposeLean (TQM and JIT) and agile manufacturing (AM) are viewed as strategic capabilities that can help firms to meet diverse set of market demands. However, the question whether lean manufacturing and AM are complementary or competing capabilities is still open to discussion. This research proposes an integrated research framework that draws on complementary theory, theory of systems, and concept of fit to examine this question regarding these two strategic capabilities.Design/methodology/approachData are collected from 248 apparel exporting firms, and the proposed model is evaluated using structural equation modeling.FindingsResults show that lean manufacturing, AM, and supporting management and infrastructural practices have positive and complementary effects on firm's performance. Further, results depict that lean manufacturing and AM complementarity is a complete organizational synergistic phenomenon, and piecemeal implementation of these initiatives may lead to suboptimal or unsatisfactory results. Results also indicate that there is no significant direct (correlated and uncorrelated) relationship of management, infrastructure, lean manufacturing, and AM practices with firm's performance and support that lean manufacturing and AM are not competing paradigms.Research limitations/implicationsThis research is based on cross-sectional data from one industry. Future research should collect data from diverse sectors in different countries.Practical implicationsThis study provides a key insight for manufacturing managers that piecemeal implementation of lean manufacturing and AM does not yield optimal outcomes. In addition, study suggests that lean manufacturing and AM complementarity builds on strong foundation of strategic management and internal and external infrastructure. Therefore, managers should focus on development of skilled and empowered human resources, technological advancements, and learning and virtually integrated organizations for effective implementation of lean manufacturing and AM.Originality/valueProposed framework is one of the first, if not the first, that seeks to resolve the question: whether lean manufacturing and AM are complementary or competing capabilities. Complementary effects of lean manufacturing and AM along with management, internal infrastructure, and common external infrastructure practices have positive impact on performance. This study also segregated infrastructure practices into internal and common external infrastructure practices.


2019 ◽  
Vol 15 (10) ◽  
pp. 1
Author(s):  
D. R. G. Perera ◽  
W. M. C. Bandara Wanninayake

Management of Hemostasis is an integral role for any Intensivist in assurance of recovery of a hemorrhage patient who is often treated in an ICU, and building trust of a product segment related to such vital treatment will undoubtedly hold an utmost importance. Yet in researches and articles in current Medical Marketing setup it is found to be very limited, and in the case of Biological and Bio-Similar Marketing its almost non-existence. The purpose of this research paper is to investigate and prove the significant positive impact of Brand Trust on Physicians Prescription Decision and Moderation impact powered by the synergy of Relationship Marketing. The research consists of data which was collected via online questionnaire and captured the data required from the target sample cohort which is distributed via respective specialized academic colleges of their representation through email and filed online by the participants of quantitative research. Moreover, two of the main key opinion leaders (KOLs) were interviewed and qualitative data were summarized. The collected data were analyzed using Structural Equation Modeling (SEM) procedures to reach meaningful conclusions. Thereby the study proves the significant positive impact of Brand Trust on Physicians Prescription Decision and Moderation impact which synergized by Relationship Marketing. The study is an original contribution to the field of Marketing in Biological and Pharmaceutical Industry. The proposed relationships are based on Brand Trust, Physician’s Prescription Decision and Relationship Marketing. Furthermore, the Moderating effect of Relationship Marketing on the relationship between Brand Trust and Physician’s Prescription Decision is unique to this study.


Author(s):  
Ashish A. Thatte ◽  
Vikas Agrawal ◽  
Shahnawaz Muhammed

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">The twenty first century organization is required to provide accurate on time deliveries in addition to providing high quality products at low costs. This can be achieved if various processes within and between the organizations are streamlined and well defined. Several studies have indicated the significance of various manufacturing (or internal) practices that are instrumental in creating time-based competitive capability. Collaborative relations and information sharing practices with suppliers have long been believed to positively impact the responsiveness and delivery performance of organizations and supply chains. Responsive suppliers can play a key role in affecting a firm&rsquo;s own delivery performance. <span style="mso-spacerun: yes;">&nbsp;</span>This research investigates and tests the relationships between information sharing practices of a firm, supplier network responsiveness, and delivery dependability of a firm. The large scale web-based survey yielded 294 responses from industry professionals in the manufacturing and supply chain area. The proposed relationships were tested using structural equation modeling. The research findings point out that higher level of information sharing practices can lead to improved supplier network responsiveness, and higher levels of supplier network responsiveness can have a direct positive impact on delivery dependability of a firm. The implications of our findings are discussed and directions for future research are provided.</span></span></p>


2019 ◽  
Vol 53 (11) ◽  
pp. 2322-2347 ◽  
Author(s):  
Galit Shmueli ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
...  

Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction. However, while researchers using PLS-SEM routinely stress the predictive nature of their analyses, model evaluation assessment relies exclusively on metrics designed to assess the path model’s explanatory power. Recent research has proposed PLSpredict, a holdout sample-based procedure that generates case-level predictions on an item or a construct level. This paper offers guidelines for applying PLSpredict and explains the key choices researchers need to make using the procedure. Design/methodology/approach The authors discuss the need for prediction-oriented model evaluations in PLS-SEM and conceptually explain and further advance the PLSpredict method. In addition, they illustrate the PLSpredict procedure’s use with a tourism marketing model and provide recommendations on how the results should be interpreted. While the focus of the paper is on the PLSpredict procedure, the overarching aim is to encourage the routine prediction-oriented assessment in PLS-SEM analyses. Findings The paper advances PLSpredict and offers guidance on how to use this prediction-oriented model evaluation approach. Researchers should routinely consider the assessment of the predictive power of their PLS path models. PLSpredict is a useful and straightforward approach to evaluate the out-of-sample predictive capabilities of PLS path models that researchers can apply in their studies. Research limitations/implications Future research should seek to extend PLSpredict’s capabilities, for example, by developing more benchmarks for comparing PLS-SEM results and empirically contrasting the earliest antecedent and the direct antecedent approaches to predictive power assessment. Practical implications This paper offers clear guidelines for using PLSpredict, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses. Originality/value This research substantiates the use of PLSpredict. It provides marketing researchers and practitioners with the knowledge they need to properly assess, report and interpret PLS-SEM results. Thereby, this research contributes to safeguarding the rigor of marketing studies using PLS-SEM.


2021 ◽  
pp. 2516600X2199194
Author(s):  
Anil Kumar ◽  
Suman Lata

The present era sees an increasing trend of online purchasing all over the globe, and India is no more an exception. India is likely to become the hub for online market because it is second in terms of population in the world. The study is an effort to understand whether system quality really matters for customer satisfaction, particularly in developing countries, and the website quality works as a mediator or not. The study proposes the theoretical framework of the impact of system quality on customer satisfaction after a rigor literature review. With the help of purposive sampling, data were collected and model tested using partial least square structural equation modeling (PLS-SEM). The results show that system quality and website quality have a direct and positive impact on customer satisfaction and website quality partially mediated. Based on these empirical findings, managerial implications, limitations, and recommendations for further future research are given in the study.


2019 ◽  
Vol 18 (2) ◽  
pp. 79-92
Author(s):  
Hanna Fransiska ◽  
Sunjoyo Sunjoyo

The three main objectives of this study are: a) to test and analyze the effects of transformational and transactional leadership to teamwork positively; b) to test and analyze the effect of teamwork direct and positive impact on the performance of the work; c) to examine and analyze the influence of transformational and transactional leadership direct and positive impact on job performance. The study sample consisted of 121 (one hundred and twenty one) leaders who work in 17 (seventeen) private companies operating in the city of Bandung. Two of the five hypotheses are supported, which hypotheses were tested using Structural Equation Modeling (SEM). There are several findings from this study is the first transformational leadership positively affect teamwork, but does not affect the transactional leadership team cooperation positively. The second is teamwork does not affect the performance of work directly and positively. The third is transformational leadership directly affects job performance and positive, but transactional leadership does not affect job performance. The implications of this research was discussed as well as suggestions for future research.   Keywords: Transformational Leadership; Transactional Leadership; Teamwork; Job Performance; Leadership Beliefs Inventory (LBI); Practice Environment Survey.


Author(s):  
Wenting Zhou ◽  
Yajun Qiu ◽  
Haibo Tian ◽  
Jiao Xu

The constraint negotiation process is a prominent part of serious leisure, and leisure-oriented women runners in China may behave differently in this process. An adjusted model was proposed to examine the constraint negotiation process of serious leisure for women runners. An online questionnaire was conducted that contained 239 valid samples measuring the participation, intrinsic motivation, constraints and negotiation of women runners. The structure of variables was confirmed based on the good results of reliability and validity test. Then the structural equation modeling results showed that constraints had a negative impact and negotiation had a positive impact on participation. Negotiation acts on constraints to reduce their negative perception. Furthermore, intrinsic motivation has a significant positive effect on negotiation. There are high intrinsic motivation and fewer constraints reporting for women runners under high negotiation in serious leisure. The results provide additional explanation for the serious leisure participation of women runners. Future research should integrate women’s life experiences to better understand the behavior revealed in this study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Constanza Bianchi

Purpose This study aims to empirically investigate the antecedents of tourists’ intentions to continue solo traveling. Design/methodology/approach Drawing on the theory of planned behavior (TPB), an extended model on solo travel intentions is developed that incorporates variables related to past solo travel experiences, namely, tourist satisfaction, pleasure and self-development. An online survey was applied to 187 solo tourists from different countries. Hypotheses were tested with structural equation modeling. Findings All the variables, except for subjective norms, are significant predictors of tourists’ intentions to continue solo traveling. Results confirm a good explanatory power of the extended TPB model. Research limitations/implications Caution must be exercised with the results as tourists’ actual solo travel behavior may differ from their intentions. Future research may investigate tourists’ actual behavior by using longitudinal methods and include additional demographic variables as antecedents. Originality/value This study empirically investigated the antecedents of tourists’ intentions to continue solo traveling – an under-researched topic. Previous research is mostly exploratory and largely focuses on female solo travelers.


Sign in / Sign up

Export Citation Format

Share Document