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The purpose of this paper is to propose and demonstrate a new additive manufacturing approach that breaks the layer-based point scanning limitations to increase fabrication speed, obtain better surface finish, achieve material flexibility and reduce equipment costs.

The freeform additive manufacturing approach conceptually views a 3D article as an assembly of freeform elements distributed spatially following a flexible 3D assembly structure, which conforms to the surface of the article and physically builds the article by sequentially forming the freeform elements by a vari-directional vari-dimensional capable material deposition mechanism. Vari-directional building along tangential directions of part surface gives surface smoothness. Vari-dimensional deposition maximizes material output to increase build rate wherever allowed and minimizes deposition sizes for resolution whenever needed.

Process steps based on geometric and data processing considerations were described. Dispensing and forming of basic vari-directional and vari-dimensional freeform elements and basic operations of joining them were developed using thermoplastics. Forming of 3D articles at build rates of 2-5 times the fused deposition modeling (FDM) rate was demonstrated and improvement over ten times was shown to be feasible. FDM compatible operations using 0.7 mm wire depositions from a variable exit-dispensing unit were demonstrated. Preliminary tests of a surface finishing process showed a result of 0.8-1.9 um Ra. Initial results of dispensing wax, tin alloy and steel were also shown.

This is the first time that both vari-directional and vari-dimensional material depositions are combined in a new freeform building method, which has potential impact on the FDM and other additive manufacturing methods.

This study reviews existing research and current applications of artificial intelligence (AI) in the hospitality and tourism industry. It further proposes a new evaluation framework to inform the susceptibility of AI adoptions.

This is a synthesis and evaluation study that qualitatively summarizes and presents findings on AI applications in the hospitality and tourism industry. Current AI applications are rated using a seven-dimensional framework based on Rogers' (2003) diffusion theory.

AI adoption susceptibility in the hospitality and tourism industry varies based on the type of AI. Search/booking engines, virtual agents and chatbots rank high in the adoption susceptibility.

This study bridges innovation diffusion theoretical underpinnings and AI applications. The findings support researchers, developers and managers in evaluating the adoption susceptibility of AI technologies in the hospitality and tourism industry.

This paper is among the few that focus on assessing AI adoption susceptibility in the hospitality and tourism industry. This paper develops a theory-based framework for systematically evaluating AI innovations in hospitality and tourism.

This research discloses the effect of religiosity on purchasing intention through serial-mediation paths in a halal-certified food context. Borrowing from the identity theory while supplemented by the theory of planned behaviour (TPB) and the knowledge–attitude–practice (KAP) theory, a 4-layered framework is developed to investigate such an issue.

264 questionnaires are collected in the field study conducted in Tunis, Tunisia. Quota sampling method is applied. Testing of the hypotheses is performed using partial least square analysis.

The findings reveal that religiosity affects the four mediators—awareness, trust, subjective norm and perceived behavioural control—which in turn affect attitude, and purchase intention towards halal-certified food is eventually aroused. These four serial-mediation paths are further proved to form the mechanisms.

The field study participants are limited to consumers in Tunis. Besides, a mechanism to collect the data from general public including lower educated consumers should be necessary.

This research is a pioneering work investigating the sequential intervening effect in the religiosity-intention relationship in halal-certified food. The authors provide unique and fruitful insights into this relatively untapped field for academia and firms.

This research attempts to investigate the differences of consumer perceptions on product quality, price, brand leadership and brand personality among national brands, international private labels and local private labels. It aims to use product categories as the moderator of the preceding perceptions.

Data were collected outside the entrances of the main rail station of Taipei, Taiwan. A systematic sampling was adopted and 254 questionnaires were eventually collected.

The findings revealed that on the whole national brands were perceived as significantly superior to international private labels, while international private labels were perceived as being superior to local private labels in terms of all perceptions except price perception. The findings also revealed that product categories moderated price and brand personality perceptions across the three brand types, while product categories failed to moderate the effect of the three brands types on quality and brand leadership perceptions.

This research represents one of the few pioneer works that empirically investigate the aforementioned issues.

This study aims to investigate the impact of perceived value on customer intention to use the internet as a retailing platform and, more specifically, the impact that perceived value (comprising functional, social, emotional and epistemic values) has on Taiwanese customer intention to conduct the two distribution channel functions, i.e. information collection and order placement, through the internet.

A total of 295 usable survey responses were collected in the main commuter district of Taipei, Taiwan.

The findings indicate that both functional and epistemic values have a significant impact on information collection and order placement. Nevertheless, social value has an impact only on information collection, whereas emotional value has a significant impact only on order placement.

The aforementioned issue has rarely been researched but is essential to the development of a channel of distribution theory and is of immediate relevance to marketing practices. The paper pioneers the study of the impact of perceived value in this context work that empirically investigated such an issue.

This paper reconsiders the approaches to measuring Confucian values, and tests their association with workforce performance. The purpose of this paper is to examine how such values and performances are prioritized across three East Asian societies, but more importantly, identifies how variations across societies might result from the way in which Confucianism has been transformed/appropriated differently across history.

A Best-Worst experimental design is used to measure three aspects of Confucianism (relational, pedagogical, and transformative), and three aspects of workforce performance (mindset, organization, and process) to capture the trade-offs by respondents from three East Asian societies: China (n=274), Taiwan (n=264), and South Korea (n=254). The study employs analysis of variance with post-hoc tests to examine differences between societies. A hierarchical cluster analysis using Ward’s method is utilized to identify clusters based on similarities within the data. And last, multiple regression analysis is applied to determine the explanatory power of Confucian values on workforce performance.

Findings confirm the prioritization of three aspects of Confucianism (relational, pedagogical, and transformative) to differ between Mainland Chinese, Taiwan Chinese, and Korean respondents – producing five distinct clusters based on similarities across three societies. Overall, between 7 and 27 percent of the variance in workforce performance could be explained by the Confucian values included in this study.

This study highlights the “different shades of Confucianism” across East Asian societies, which we coin as Confucian Origin, Preservation, and Pragmatism, and demonstrates the need to take a multifaceted perspective in the measurement of Confucian culture. The study provides empirical support for the link between Confucianism and performance at the micro-level, as originally proposed by Baumann and Winzar (2017), and identifies specific antecedents of behavior for research moving forward.

The purpose of this paper is to explore the role of mediation and moderation mechanisms between firm-level effects of transformational leadership (TFL) on unit-level performance across levels.

The authors used surveys to collect data from 800 senior managers at the firm level and 1,377 unit managers from 800 units of 100 firms from semiconductors, optoelectronics, computer electronics, and telecommunications industries. The industries were chosen because these firms focus on expanding their businesses and encourage extensive knowledge sharing among the firms and at all levels within the organizations.

In this study, the authors theorized that firm-level effects of TFL on unit-level performance across levels were positively related to unit-level performance. Unit-level knowledge sharing mediates the positive relationship between firm-level TFL and unit-level performance. A cross-level interaction effect of firm-level TFL and unit-level absorptive capacity showed that a positive unit-level absorptive capacity enhanced firm-level influence of TFL on unit-level knowledge sharing. Unit-level absorptive capacity moderates the positive relationship between unit-level knowledge sharing and unit-level performance.

First, the authors attempt to integrate the leadership and knowledge management research by exploring the critical mediator of unit-level knowledge sharing in explaining the effects of firm-level TFL on employees’ performance at the unit level. This approach is important because it extends the research areas of the two fields, and also clarifies issues regarding how and why TFL at the top of the organization positively impacts the performance of employees at a lower level of the organizational hierarchy. Second, the effectiveness of firm-level TFL depends on the absorptive capacity of each unit. The importance of absorptive capacity and the consequences of leadership behaviors have been emphasized in studies.

This study provides a retrospect of Asia Pacific Journal of Marketing and Logistics (APJML) for the 27-year period between 1993 and 2019.

This study uses the Scopus database to identify the most-cited APJML articles and most prolific authors, institutions and countries in APJML between 1993 and 2019. The study uses bibliometric indicators as well as tools such as bibliographic coupling and science mapping, to analyze the publication and citation structure of APJML. The study provides a temporal analysis of APJML publishing across different periods.

APJML's publication has grown at an average rate of 17% per year, while its citations have grown at an impressive rate of 60%. The contributors to the journal come mainly from the Asia Pacific region, which is not surprising given the journal's scope of publication. Bibliographic coupling of articles reveals that the journal has focused mostly on issues related to market orientation, advertising, marketing research, consumer behavior, customer service, marketing in the digital environment and consumer ethnocentrism. Quantitative research in marketing and consumer ethnocentrism is among the emerging themes in the journal and would benefit from more exploration from scholars.

This study uses data from the Scopus database, whose limitations have implications for the findings. For example, data for the journal's first five issues are not available on Scopus and therefore are not included in the analysis.

This study provides the first overview of APJML's publication and citation trends as well as its thematic structure.

The ongoing urbanization and decarbonization require deployment of energy storage in the urban energy system to integrate large-scale variable renewable energy (VRE) into the power grids. The cost reductions of batteries enable private entities to invest energy storage for energy management whose operating strategy may differ from traditional storage facilities. This study aims to investigate the impacts of energy storage on the power system with different operation strategies. Two strategies are modeled through a simulation-based regional economic power dispatch model. The profit-oriented strategy denotes the storage system operated by private entities for price arbitrage, and the nonprofit-oriented strategy denotes the storage system dispatched by an independent system operator (ISO) for the whole power system optimization. A case study of Jiangsu, China is conducted. The results show that the profit-oriented strategy only has a very limited impact on the cost reductions of power system and may even increase the cost for consumers. While nonprofit-oriented energy storage performs a positive effect on the system cost reduction. CO₂ emission reduction can only be achieved under a high VRE scenario for energy storage. Integrating energy storage into the power system may increase CO₂ emissions in the near term. In addition, the peak-valley spread is crucial to trigger operations of profit-oriented energy storage, and the profitability of energy storage operator is observed to be decreasing with the total storage capacity. This study provides new insights for the energy management in the smart city, and the modeling framework can be applied to regions with different resource endowments.

The authors characterize two battery storage operating strategies of profit- and nonprofit-oriented by adopting a simulation-based economic dispatch model. A simulation from 36 years of hourly weather data of wind and solar output from case study of Jiangsu, China is conducted.

The results show that the profit-oriented strategy only has a very limited impact on the cost reductions of power system and may even increase the cost for consumers. While nonprofit-oriented energy storage performs a positive effect on the system cost reduction. CO₂ emission reduction can only be achieved under high VRE scenario for energy storage. Integrating energy storage into the power system may increase CO₂ emissions in the near term. In addition, the peak-valley spread is crucial to trigger operations of profit-oriented energy storage, and the profitability of energy storage operator is observed to be decreasing with the total storage capacity.

This study provides new insights for the energy management in the smart city, and the modeling framework can be applied to regions with different resource endowments.