Search results

This study aims to develop a new integrated decision-making framework specifically designed to address complexity and uncertainty for project portfolio management. It particularly focuses on managing portfolios in a post-merger context. The paper portrays a normative and prescriptive approach to effectively creating a well-balanced project portfolio in a post-merger scenario.

This study introduces hyper-project portfolio frame as a prospective methodology for evaluating post-merger portfolios. The proposed method especially addresses the challenges associated with integration following a merger.

Hyper-project portfolio frame provides fundamental leaps in post-merger project portfolios. The frame gives opportunities to check consistency with policy, organizational scalability, flexibility and product diversity. It also underpins achieving the strategic objectives of mergers and acquisitions (M&As).

The literature synthesis is approached from an interpretative standpoint. The research incorporates discussions and comparative studies from the relevant literature and introduces a novel approach. Additionally, new descriptive studies can expand the proposed process-oriented decision-making. Moreover, this research does not consider hostile takeovers.

Nested in content and process-oriented fashion, the frame provides suitable prequalification analysis for portfolios in a post-merger under the concepts of complexity, uncertainty, risk and value.

Drawing on and extending the push-pull-mooring (PPM) framework, this paper aims to empirically explore the influencing mechanism of traveler switching intention from the hotel reservation platforms to the sharing accommodation platforms (SAPs).

This study adopts structural equation modeling to analyze the 543 responses collected among hotel reservation platforms and SAPs travelers.

The results support the positive effect of both push factors (e.g. dissatisfaction with product, service and information quality of hotels on the hotel reservation platform) and pull factors (e.g. price value, authenticity, interaction, home benefits and novelty of SAPs) on traveler switching intention. Except for the negative effect of switching cost, other mooring factors including prior switching experience and social influence positively affect traveler switching intention. The authors also found the switching cost negatively and prior switching experience positively moderated the push effects on traveler switching intention, while the social influence positively moderated the pull effects on traveler switching intention.

Recommendations of future SAP participation research to consider the competing platforms, the unique experiences of SAPs and mooring factors. Examining the factors of different sources is also useful for practitioners to better understand travelers’ demands and to improve the overall welfare of travelers.

This paper embraces an extended PPM framework to explore traveler switching intention in online travel platforms. Moreover, this paper provides unique insights into the switching behavior from the hotel reservation platforms to the SAPs.

The purpose of this paper is to develop a theoretical model based on Push–Pull–Mooring (PPM) framework consisting of direct, indirect and moderating effects, derived from technology acceptance model, unified theory of acceptance and use of technology and other extended theory, to address the main factor influencing an individual in adopting mobile payment (MP) in physical stores. The research, therefore, utilized individual switching behavior as an underpinning to explain MP adoption in an offline context.

The theoretical model was tested by collecting data from 459 respondents in Indonesia through online self-administered questionnaires.

The finding indicated consumer innovativeness has the most influential direct effect on MP adoption, followed by deal proneness, perceived convenience and perceived herd behavior. Meanwhile, perceived enjoyment and subjective norms were found to have an indirect effect on the adaptation of MP through mediator convenience. Furthermore, age, gender, occupation and income did not have any moderating effect for all the direct influence of MP adoption.

Previous literature only focused on direct intention. However, this study observed the adoption of MP in a physical store by involving the switching behavior. It specifically puts concern and objective as the factors that influence user intention to switch from their old payment system to the MP system in bricks and mortar store using PPM framework.

The purpose of this study is to identify antecedents of adoption and post-adoption switching of online pharmacy applications (OPA) in Indian society. A push-pull-mooring (PPM) model was formulated to evaluate the impact of various constructs upon “consumers’ switching intention” (CSI).

An online questionnaire was sent to 252 users of OPA in India. Hypotheses were generated to examine the push, pull and mooring effects of constructs developed. The relationships between dependent and independent variables were evaluated using structured equation modeling (SEM).

The study explicated the effect of PPM constructs on CSI in the context of OPA adoption. “Perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had a significant “pull” effect on CSI. “Switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.

This study theoretically established that the constructs of “perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had significant “pull” effect on “consumers’ switching intention.” The construct of “switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.

The study provided valuable insights regarding consumer behavior regarding OPAs. These findings could be applied by managers in framing effective strategies to grow and retain the customer base of OPAs.

To the best of the authors’ knowledge, this was one of the first empirical investigative studies to assess precursors of adoption and post-adoption characteristics of consumer behavior through the PPM model, in the context of Indian OPAs.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

Social media platforms are currently facing the challenge of declining user activity. Building on the push–pull–mooring (PPM) framework, the current study developed a research model to evaluate factors that affect Facebook discontinuance.

The proposed research model assessed how push factors (e.g. Facebook fatigue and dissatisfaction), a pull factor (e.g. alternative attractiveness) and mooring factors (e.g. personal norms and habit of using Facebook) affected the discontinued usage behavior regarding Facebook. The proposed research model was validated using empirical data (n = 412) collected from Facebook users.

Facebook fatigue, dissatisfaction and alternative attractiveness significantly and positively affected discontinued Facebook usage. Personal norms and habit of using Facebook had a converse influence in this regard. Dissatisfaction had a stronger positive impact than Facebook fatigue and alternative attractiveness on the discontinued usage behavior regarding Facebook. Habits of using Facebook had a greater negative effect than personal norms of using Facebook on the discontinued usage behavior regarding Facebook by users.

This study extends extant literature on social media discontinuance to identify the antecedents of discontinuous usage behavior in social media. This study enriches the literature on social media discontinuance by shedding light on the different degrees of effect of the push, pull and mooring factors on discontinuous social media usage behavior.

The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed.

Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model.

The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.

The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.

The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.

The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.

This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.

The purpose of this study is to examine the factors affecting deposit withdrawal intentions among Moroccan profit-sharing investment account holders.

Applying the push-pull-mooring (PPM) theory, a quantitative survey, based on insights brought to light by a previous qualitative study, was developed and administered to 166 depositors from five participatory banks at branches located in Morocco. Structural equation modeling was then used to evaluate the significance of relationships between the various variables under study.

Empirical findings showed that the PPM model with a second-order construct structure exhibited a better representation of the observed variables as compared to a first-order factor model. The results of the structural analysis indicated a significant direct relationship between withdrawal intention and each of the PPM model constructs: push and pull factors were found to have a positive impact on withdrawal intention, while mooring factors had a significant inverse relationship with withdrawal intention. The results of this study also revealed that the moderating role of the mooring construct was found in both relationships between push and withdrawal intention and between pull and withdrawal intention.

The absence of a longitudinal study measuring the actual withdrawal behavior is the main limitation of this study. Furthermore, withdrawal intention was examined without differentiating between individual and corporate depositors. Finally, despite being insightful, the empirical findings should be generalized with caution, as the sample was purposely chosen by the banks’ management.

This study implied that participatory banks should stress the importance of mooring factors, as they strongly inhibit depositors’ intention to shift their funds to the conventional banking system. Moreover, this study provides great indications to Moroccan regulators and policymakers on a number of issues that can be used to develop policies that could improve the participatory banking system.

To the best of the authors’ knowledge, this study represents the first attempt to confirm the effectiveness of the PPM model in examining depositor-withdrawal intentions. This study is also the first of its kind to address profit-sharing investment depositors’ apprehensions in the Moroccan context, to the best of the authors’ knowledge.

The purpose of this paper is to study the phenomenon of abrupt shift by both doctors and patients to telemedicine during the coronavirus (COVID-19) pandemic and associated economic lockdown in India. The study explored various drivers of telemedicine technology awareness, adoption and usage. These drives were studied from both the doctors and the patients’ perspectives using the Push–Pull–Mooring (PPM) theoretical model.

An exploratory qualitative research was carried out with 24 doctors and 32 patients. This research was conducted in major urban cities of India. It was carried out during the economic lockdown due to the COVID-19 pandemic. The data was collected based upon a semi-structured open-ended questionnaire using telephonic interviews. Once thematic saturation was achieved, thematic content analysis was conducted. Finally, the themes were classified and analyzed using the PPM theoretical model

The data analysis indicated that there was the presence of all three factors, namely, push, pull and mooring. For the doctors, pull and push factors were more substantive than mooring factors. Although for the patients push and mooring factors were more important and pressing than pull factors.

This study was conducted during the COVID-19 pandemic and associated economic lockdown in India. The interview respondents were located only in urban India. Future studies could be conducted to explore similarities and differences in telemedicine adoption patterns during non-crisis times vis-a-vis crisis times in urban and rural settings.

The insights from this study could be used by medical service providers to leverage telemedicine technology to improve the business model, service delivery, pricing strategy, value proposition and behavioral characteristics. Patients on the other hand could gather perspectives regarding how best to use telemedicine technological services.

The authors provided an integrated perspective regarding telemedicine technology awareness, adoption and usage in an emerging economy of India during the critical times of the COVID-19 pandemic crisis and the associated prolonged economic lockdown. This was one of the first studies that applied PPM theory for telemedicine adoption

Technology has revolutionized the delivery of health-care services, with e-consultations becoming popular mode of service delivery, especially during the pandemic. Extant research has examined the adoption of e-health consultation services, with little attention paid to examine the switching behavior. This study aims to identify factors affecting patients’ intentions to switch from conventional mode i.e. visiting hospitals/clinics to e-health consultations.

To understand this we use the push–pull–mooring (PPM) framework and integrate variables from status quo bias framework to the model. A cross-section research design was used, which rendered 413 valid responses which were obtained from the patients visiting a traditional hospital setup. The data was analyzed using partial least square – structural equation modeling using SmartPLS 3.0.

Findings suggest that push effects (inconvenience and perceived risk), pull effects (opportunity for alternatives and ubiquitous care), mooring effects (trust) and inertia significantly influence patients’ switching intentions from visiting hospitals/clinics to e-health consultations. Further, habit and switching cost positively influence inertia.

This study shall enable online health-care service providers and practitioners to understand patients’ intentions to switch to online health platforms and accordingly develop related marketing strategies, services and policies to encourage them to switch to the new offerings.

The current study enriches the previous research on e-health services by applying and extending PPM framework as the base model and showing its efficiency in predicting individuals switching intentions in the context of emerging economies. This study bridges the gap by focusing on switching behavior in context of health services.