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This study aims to find how the turnover of host country nationals (HCNs) would be affected by the knowledge transfer from a headquarter to a subsidiary. Knowledge transfer in a multinational corporation (MNC) has been discussed as a critical factor in the MNC’s success. Because HCNs are essential to synergizing with a new knowledge inflow during this knowledge transfer process, their turnover entails negative consequences such as knowledge loss.

This paper empirically tests the unbalance between knowledge received (KR) and absorptive capacity (AC) as the most critical organizational predictor by using the secondary longitudinal records and survey data of 4,915 employees. Multilevel survival analysis is used to calculate the individuals’ turnover hazard.

While finding that the primary effect of transferred knowledge is to reduce turnover, the study demonstrates the unbalance between a subsidiary’s AC and KR increases the likelihood of HCNs’ turnover within the organization. The authors also recognize the possibility of nonlinear trends of KR and AC on the turnover hazard.

The authors answer how knowledge transfer shapes a subsidiary’s work environment to prevent or increase turnover, which has been barely examined for HCNs who comprise the crucial demographic group in knowledge transfer. To enhance the originality further, this study empirically observes the actual turnover of HCNs with a conceptually comprehensive view incorporating both learning and political approaches.

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.

Since the declaration of reform and market opening from China in 1990, China has drawn much attention from the world thanks to its rapid economic growth and its emergence as the world's major consumer market and the center of the global economy. Moreover, it established the new trade order, making East Asia the center of the new trade trend as it becomes a manufactural and sales stronghold of multinational companies. The Chinese distribution market is expected to show a high growth rate by 2010 and it draws attention as a new business sector which can bring huge profits. However, advancement of the Chinese distribution industry now faces systemic problems and research on such problems is insufficient. Therefore, in this study we will conduct SWOT analysis based on previous studies on the Chinese distribution industry and use it as a ground to propose strategic solutions for development.

Many organizations expect their service engineers, or frontline employees (FLEs), to behave as brand advocates by engaging in favorable communication about the brand and its offerings toward customers. However, this approach is not without risk as customers may be disappointed or even frustrated with brand advocacy behavior in many service encounters. The purpose of this paper is to study the impact of FLEs’ brand advocacy on customer satisfaction with the service encounter, and identify the conditions under which the effects are detrimental. This paper specifically considers service issue severity and product newness as contingency conditions.

Building on social identification theory, the paper builds a conceptual model, which is empirically tested using a data set that matches data from service engineers, customers, and archival records from the after-sales service department of a globally operating business-to-business print and document management solutions provider.

This paper finds that brand advocacy behavior harms customer satisfaction especially in service encounters that involve simple service issues (e.g. maintenance) for products that are new to the market. Fortunately, brand identification can compensate this negative effect under many service conditions. While the joint effect of brand identification and advocacy is most beneficial for severe service issues of new products, no effect on customer satisfaction was found for established products.

This paper identifies those service situations in which brand advocacy is advisable and guides managers toward achieving more favorable customer evaluations.

Past research has considered several FLE branding activities in the frontline but the effects of brand advocacy have not been isolated. In addition, most studies have assumed the effects of employee brand-related behaviors on customer satisfaction to be universally positive rather than negative and focused on antecedents and not on moderators and consequences.

The purpose of this paper was to study responses to traditional food of a country, focusing on emotion-motivational responses by locals and foreigners.

Through an experimental design study, Portuguese and Foreign participants were exposed to both traditional and nontraditional food pictures of a country and asked to evaluate their emotional and motivational responses while physiological responses of electrodermal activity were being continuously recorded. Predisposition factors of body dissatisfaction, food neophobia and food involvement were also evaluated given their potential role in predicting the responses to the visualization of the food pictures.

This study found that local traditional food received a higher positive evaluation than nontraditional food with locals evaluating it even higher than foreigners. Higher feelings of arousal and desire as well as willingness to try in response to traditional food were also found as well as higher feelings of pleasure by locals. However, interestingly, and contrary to expectations derived from previous literature, emotion-motivational responses were not significantly different between locals and foreigners.

To the best of the authors’ knowledge, this research addressed an identified research gap in the literature, being the first one evaluating the autonomic responses of consumers to traditional food by exploring how local and foreign consumers respond to traditional food versus nontraditional food using psychophysiological measures of emotion.

El objetivo principal de esta investigación fue estudiar las respuestas a la comida tradicional de un país, centrándose en las respuestas emoción-motivación de los locales y los extranjeros.

A través de un estudio de diseño experimental, los participantes portugueses y extranjeros fueron expuestos a imágenes de comida tradicional y no tradicional de un país y se les pidió que evaluaran sus respuestas emocionales y motivacionales mientras se registraban continuamente las respuestas fisiológicas de la actividad electrodérmica. También se evaluaron los factores de predisposición de la insatisfacción corporal, la neofobia a la comida y la implicación en la comida, dado su papel potencial en la predicción de las respuestas a la visualización de las imágenes de comida.

Encontramos que la comida tradicional local recibió una evaluación positiva más alta que la comida no tradicional, con los locales evaluándola incluso más alto que los extranjeros. También se encontraron mayores sentimientos de excitación y deseo, así como la voluntad de probar en respuesta a la comida tradicional, así como mayores sentimientos de placer por parte de los locales. Sin embargo, curiosamente, y en contra de las expectativas derivadas de la literatura anterior, las respuestas emocionales-motivacionales no fueron significativamente diferentes entre los locales y los extranjeros.

Esta investigación abordó una brecha de investigación identificada en la literatura, siendo la primera que evalúa las respuestas autonómicas de los consumidores a la comida tradicional al explorar cómo los consumidores locales y extranjeros responden a la comida tradicional frente a la no tradicional utilizando medidas psicofisiológicas de emoción.

本研究的主要目的是研究本地人和外国人对一个国家的传统食物的情感动机反应。

通过实验设计研究, 葡萄牙人和外国参与者会看到一个国家的传统和非传统食物图片, 并被要求评估他们的情绪和动机反应, 同时连续记录皮肤电活动的生理反应。考虑到其他变量在预测对食物图片可视化的反应方面的潜在作用, 还评估了身体不满、食物恐惧症和食物参与的易感因素的影响。

研究结果发现, 当地的传统食物比非传统食物得到了更高的积极评价, 且当地人对它的评价甚至比外国人更高。当地人对传统食物的表现出更高的唤醒, 欲望和尝试意愿, 以及更高的愉悦感。然而, 有趣的是, 与以往文献的预期相反, 当地人和外国人之间的情绪动机反应并没有呈现出明显差异。

这项研究填补了现有文献中的研究空白, 它是第一个通过使用心理生理学的情绪测量方法来探索本地和外国消费者对传统食物与非传统食物的反应, 从而评估消费者对传统食物自主反应的研究。

This study aims to provide insights into gender diversity in Pakistani boardrooms, particularly for the dominant family business type, which is strongly guided by (non-financial) family-related objectives when making business decisions, such as the appointment of board members. Pakistani companies operate within the framework of weak legal institutions and a traditionally highly patriarchal environment. This study examines how corporate decisions regarding the appointment of female board members play out in this socio-political and cultural environment.

Board composition and board characteristics were examined using hand-collected data from 213 listed family firms and non-family firms on the Pakistan Stock Exchange from 2003 to 2017. Univariate analyses, probit regressions and robustness tests were performed.

Pakistani family firms have a significantly higher proportion of women on their boards than do non-family firms. They are also significantly more likely to appoint women to top positions, such as CEO or chairs.

Evidently, women are allowed to enter boards through family affiliations. Gender quotas appear an ineffective instrument for breaking through the “glass ceiling” in this socio-cultural environment. Thus, gender parity must entail the comprehensive promotion of women and the enforcement of legal reforms for structural and cultural change.

The analysis focuses on a Muslim-majority emerging Asian market that has been scarcely researched, thus offering new perspectives and insights into board composition and corporate governance that go beyond the well-studied Western countries.

This study aims to explore non-Muslim tourists’ general halal food preferences, motivations for tasting halal food during their recent trips, positive and negative emotions and memorable dimensions associated with their recent halal food experiences after returning from holiday.

Data were collected using the authors’ personal networks and Amazon Mechanical Turk (MTurk) using a questionnaire. An email containing a link to the questionnaire was sent to the authors’ personal networks and posted on MTurk in January 2021.

Of the 311 non-Muslim respondents, more than half considered themselves as food neophiliacs and considered halal food experiences as imperative whilst travelling. However, tasting halal food was not a major travel motivation. Novelty and taste were the two main motivations for tasting halal food whilst at a tourism destination. Emotions elicited by halal food experiences focussed on “joy” and “love”. The proposed conceptual framework for memorable halal food experiences comprises several dimensions: taste, spending time with family and friends, novelty, quality and safety, hospitality, ambience (setting/servicescape) and experiencing others’ culture through food.

This is one of the first studies to explore non-Muslim tourists’ motives, emotions and memorable dimensions of halal food experiences.

The purpose of this paper is to emphasise the importance of high levels of trust and collaboration for increasing the likelihood of project management (PM) success. However, the link between these three constructs remains unclear.

In this study, the authors use structural equation modelling (SEM) based on the findings from an international survey of 151 project practitioners to demonstrate the significance of project team trust and collaboration for increasing the likelihood of PM success.

The results indicate that PM success becomes more likely as the degree of collaboration improves which, in turn, is influenced by an increase in the level of trust between team members. The two factors of PM success are project performance and knowledge integration and innovation. The six factors of the degree of collaboration that were studied are physical proximity, commitment, conflict, coordination, relationships and incentives. The three factors of the level of trust investigated are expectations, knowledge exchange and imported trust.

The results of the study are expected to provide insight for project practitioners to increase the likelihood of PM success by taking cognisance of the factors that influence collaboration and trust. The results of the study may also provide insight into teaching and learning in tertiary education, in terms of professionalism and integrity issues.

This paper presents a new perspective for investigating PM success. SEM techniques are used to determine the likelihood of PM success by promoting trust and collaboration in the project team. This unique approach highlights the “human factors” that influence perceived PM success which should benefit both researchers and practitioners.

To understand how organizations, public or private, must increase their productivity perception (PP), independently of the sector. This article aims to analyze PP in the digital transformation (DT) process to determine how it is affected by technostress (TS) and work engagement (WE), two concepts that seem to be forces opposing PP.

The authors use data from a questionnaire addressed to personnel in two organizations (public and private). The analysis applies partial least squares technique to the 505 valid responses obtained from these organizations. This analysis is based not on representativeness but on uniqueness.

The results suggest a positive, significant relationship between DT and PP. This article integrates DT and its effects on aspects of people's health, PP and WE. The model thus includes interactions of technology with human elements. In both business and administrative environments, PP is key to optimizing resources and survival of organizations.

DT processes are different and complex because every organization is different. The authors recommend expanding this study to other sectors in both spheres, public and private. Aligning the objectives of the institutions for aid with DT is also quite complicated.

This study contributes to improving participating organizations. It also provides government institutions with a clear foundation from which to encourage actions that promote the health and WE of their workforce without reducing productivity. In addition, this study adds novelty to the research line.

The authors have deepened this line of research by developing fuller knowledge of the relationships among novel and necessary variables in organizations. The authors provide complementary, different and inspiring value in addressing this line of research.

The purpose of this paper is to develop a new method to extract medical temporal information from online health communities.

The authors trained a conditional random-filed model for the extraction of temporal expressions. The temporal relation identification is considered as a classification task and several support vector machine classifiers are built in the proposed method. For the model training, the authors extracted some high-level semantic features including co-reference relationship of medical concepts and the semantic similarity among words.

For the extraction of TIMEX, the authors find that well-formatted expressions are easy to recognize, and the main challenge is the relative TIMEX such as “three days after onset”. It also shows the same difficulty for normalization of absolute date or well-formatted duration, whereas frequency is easier to be normalized. For the identification of DocTimeRel, the result is fairly well, and the relation is difficult to identify when it involves a relative TIMEX or a hypothetical concept.

The authors proposed a new method to extract temporal information from the online clinical data and evaluated the usefulness of different level of syntactic features in this task.