Search results

The main aims of this study were to develop analytical scales for yachting tourism push-pull motivations and constraints, and analyze how these factors may influence the revisit intention of yachting tourists in China.

The analysis was conducted using the PLS-SEM, including the evaluation of measurement models and the structural models. SPSS18.0 and SmartPLS 3.3.5 software were used for statistical analysis.

We conducted a survey of 451 respondents who participate in yachting activities in Dalian, China and identified six push motivational factors (novelty and stimulation, sightseeing and leisure, sports and learning, social relationships, self-esteem and prestige and self-realization), three pull motivational factors (featured activities and services, destination environment, destination facilities) and two constraints (internal and external). Partial least squares structural equation modelling showed that all hypothesized interactions between identified factors were statistically significant and meaningful.

The push-pull-constraint model offers a new interpretation to the traditional push-pull model in theory, and the results contribute to local yacht industry sectors.

Mobility processes, the routines that organizations use to move employees into and across jobs, are a critical determinant of the way that human capital is allocated within organizations and careers developed. Most existing work on these mobility processes has examined processes in which mobility is tightly coupled to the filling of vacancies. There is substantial evidence, though, that many organizations adopt very different processes for managing mobility. In this theory chapter, I compare vacancy-based, “job-pull” systems with alternative, “person-push” systems in which mobility is keyed to employees' attainment of performance and skill thresholds to explain how and why mobility processes vary. I identify two, inter-related dimensions along which mobility processes vary: whether their decision processes emphasize the need to match employees to tasks versus providing predictable rewards; and whether the system of jobs that people move between prioritizes flexibility or control of agency costs. I use these dimensions to predict when organizations will adopt different mobility processes, and how those processes will affect employees' mobility.

Tourism motivation is a prerequisite in understanding tourist behavior. Push and pull factors have provided a simple framework for comprehending tourism motivation in various contexts. Nevertheless, many of the propositions related to the push–pull framework have rarely been empirically examined. One of these suggests that pull factors both respond to and reinforce push factors. The current study, consequently, examines this twofold proposition empirically through partial least-squares path modeling. The findings indicate that push factors influence the tourism-demand variable (length of vacation) via pull factors and vice versa. Further, the findings indicate that the total effects of push and pull factors on the tourism-demand variable of the study are nearly equal. Theoretical and practical implications are also provided.

Drawing on organismic integration theory, we aim to examine whether the reasons independent contractors choose contract work are related to their on-the-job motivation and job satisfaction and whether their perceived support enhances positive (or buffers negative) effects.

We collected data at three separate time points from 241 adjunct instructors to test a moderated mediation model using bootstrapping analyses.

The positive relationship between pull factors (e.g. autonomy) and job satisfaction is fully mediated by the autonomous motivation contractors experienced at work. The inverse relationship between push factors (e.g. inability to secure desired work role) and job satisfaction is not mediated by autonomous nor controlled motivation experienced at work. Contractors' perceived organizational support does not moderate the relationship between either push or pull factors and autonomous motivation. Post hoc analysis shows a moderating effect of perceived supervisor support on the nonlinear relationship between push factors and autonomous motivation.

Recruiting individuals drawn to the benefits of contract work may have important implications for worker motivation, job satisfaction and potentially beyond. Moreover, organizations may consider whether existing support resources and infrastructure are appropriate for contractors.

Despite the abundance of evidence demonstrating the benefits of organizational and supervisor support among traditional employee populations, such support may be of limited value to those drawn to contract work.

As a smart service, location-based advertising (LBA) integrates advanced technologies to deliver personalized messages based on a user’s real-time geographic location and needs. However, research has shown that privacy concerns threaten the diffusion of LBA. This research investigates how privacy-related factors (i.e. LBA type, privacy self-efficacy (PSE) and consumer generation) impact consumers’ value-in-use and their intention to use LBA.

This study developed and examined an LBA value-in-use framework that integrates the role of LBA type, consumers’ PSE and consumer generation into the technology acceptance model (TAM). Data were collected through two experiments in the field with a total of 374 consumers. The proposed relationships were tested using PROCESS modeling.

The results reveal that pull (vs push) LBA causes higher value-in-use in terms of perceived usefulness and perceived ease of use, leading to greater usage intention. Further, the differences in the mediated relationship between pull- and push-LBA are larger among consumers of low PSE (vs high PSE) and Generation Z (vs other generations). The findings suggest that the consumer value-in-use brought about by LBA diminishes when using push-LBA for low PSE and Generation Z consumers.

This research is the first to integrate the privacy-related interactions of LBA type and consumer characteristics into TAM to develop a TAM-based LBA value-in-use framework. This study contributes to the literature on service value-in-use, smart services and LBA by clarifying the boundary conditions that determine the effectiveness of LBA in enhancing consumers’ value-in-use.

This study aims to highlight the inconsistency between conventional knowledge push judgements and the price of knowledge push. Also, a three-way decision-based relevant knowledge push algorithm was proposed.

Using a ratio of 80–20%, the experiment randomly splits the data into a training set and a test set. Each video is used as a knowledge unit (structure) in the research, and the category is used as a knowledge attribute. The limit is then determined using the user’s overall rating. To calculate the pertinent information obtained through experiments, the fusion coefficient is needed. The impact of the push model is then examined in comparison to the conventional push model. In the experiment, relevant knowledge is compared using three push models, two push models based on conventional International classification functioning (ICF), and three push models based on traditional ICF. The average push cost accuracy rate, recall rate and coverage rate are metrics used to assess the push effect.

The three-way knowledge push models perform better on average than the other push models in this research in terms of push cost, accuracy rate and recall rate. However, the three-way knowledge push models suggested in this study have a lower coverage rate than the two-way push model. So three-way knowledge push models condense the knowledge push and forfeit a particular coverage rate. As a result, improving knowledge results in higher accuracy rates and lower push costs.

This research has practical ramifications for the quick expansion of knowledge and its hegemonic status in value creation as the main methodology for knowledge services.

To the best of the authors’ knowledge, this is the first theory developed on the three-way decision-making process of knowledge push services to increase organizational effectiveness and efficiency.

This paper aims to examine the effect of push and pull factors motivating international students to study abroad as two pre-departure factors to their mobility decision; and the effect of two post-departure factors – cultural distance and academic/university environment – on international students’ adjustment.

Data were collected from 339 international students studying in Egypt. Structural equation modeling (SEM) was used to assess the effect of the independent variables on two facets of adjustment, the cultural adjustment and the academic adjustment.

The descriptive studies showed differences in level of adjustments, where the academic adjustment was higher than the cultural adjustment. Moreover, the SEM results have confirmed the significant role of all studied variables on general cultural adjustment; and all variables except for the push factors, on interaction cultural adjustment; and the effect of only push and academic environment on academic adjustment.

This paper is an attempt to extend the work on international students’ mobility via identifying the main pre-departure and the post-departure factors affecting their decision to study in Egypt and the interplay of those factors in shaping their level of adjustment. This study is among a relatively limited attempts in the field that would link push and pull motivational factors to level of adjustment and via detecting the effects on two different adjustments dimensions: the cultural and the academic dimensions; and within an under researched context as Egypt.

The purpose of this paper is to reassess whether individuals choose to become self‐employed for “pull” or “push” reasons, to discuss and describe ambiguities in this distinction, with focus on differences between men and women, and draw conclusions for further conceptual work.

The paper reviews current literature, from which specific hypotheses are developed. For illustration and evaluation secondary analysis is undertaken of an existing large‐scale data source available in UK Quarterly Labour Force Surveys over the period 1999‐2001.

It was found that 86 per cent state only a single reason for self‐employment. Response patterns differ significantly between men and women. Independence is the most commonly cited motivation but 22 per cent of women cite family commitments. “Push” motivations may account for as much as 48 per cent depending on interpretation. Men who report two or more factors tend to combine “pull” factors, but women tend to combine “push” with “pull”.

Respondents may display recall bias. Potential ambiguity in the way in which respondents may interpret particular motivations points to the need for future detailed qualitative research, and questionnaire item development. Further work is recommended to assess whether conclusions hold in recent recessionary economic conditions.

Clarity between “push” and “pull” factors is important in the design of entrepreneurship policy, especially during a recession. Further work is needed to provide this clarity to inform policy design.

Few previous studies investigate reasons for choosing entrepreneurship using large, population‐generalisable data, and do not consider the conceptual ambiguities inherent in categorising motivations as either “pull” or “push”.

The growth of the public Internet and enterprise intranets as a digital distribution mechanism for information has exploded and today one of the most promising developments is the so‐called push technology. Current push technology‐based packages deliver customised news to users’ desktops, reducing the burden of acquiring and integrating data from multiple and dynamic sources. Aims to discuss the potential of push technology in integrating current techniques for evaluating IS/IT investments.

Online advertisement brings huge revenue to many websites. There are many types of online advertisement; this paper aims to focus on the online banner ads which are usually placed in a particular news website. The investigated news website adopts a pay-per-ad payment model, where the advertisers are charged when they rent a banner from the website during a particular period. In this payment model, the website needs to ensure that the ad pushed frequency of each ad on the banner is similar. Under such advertisement push rules, an ad-recommendation mechanism considering ad push fairness is required.

The authors proposed a novel ad recommendation method that considers both ad-push fairness and personal interests. The authors take every ad’s exposure time into consideration and investigate users’ three different usage experiences in the website to identify the main factors affecting the interests of users. Online ad recommendation is conducted on the investigated news website.

The results of the experiments show that the proposed approach performs better than the traditional approach. This method can not only enhance the average click rate of all ads in the website but also ensure reasonable fairness of exposure frequency of each ad. The online experiment results demonstrate the effectiveness of this approach.

Existing researches had not considered both the advertisement recommendation and ad-push fairness together. With the proposed novel ad recommendation model, the authors can improve the ad click-through rate of ads with reasonable push fairness. The website provider can thereby increase the commercial value of advertising and user satisfaction.