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The successful completion of linear infrastructure construction projects such as railroads, roads, tunnels, and pipelines relies heavily on decision-making processes during planning phase. Professionals in the construction industry emphasize that determining the starting point of a linear infrastructure construction project is one of the most important decisions to be made in the planning phase. However, the existing literature does not specifically focus on selection of the starting point of the segments to be constructed. Therefore, it is of utmost importance to develop a multi-criteria decision-making (MCDM) model to support selection of the starting point of the segments to be constructed in linear infrastructure construction projects.

Based on the characteristics of the railroad projects and insights gathered from expert interviews, the appropriate criteria for the model were determined. Once the criteria were determined, a decision hierarchy was developed and the weights of the criteria (w_i) were calculated using DEcision MAking Trial and Evaluation Laboratory (DEMATEL) method. Then, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), COmplex PRoportional Assessment (COPRAS), and evaluation based on distance from average solution (EDAS) methods were used. The alternatives were ranked in terms of their priority with TOPSIS method based on relative closeness (Ci) of each alternative to the ideal solution, COPRAS method based on quantitative utility (Ui) for each alternative and EDAS method based on evaluation score (ASi) for all alternatives. The results were compared with each other.

The study reveals the effects of all criteria on the proposed model. The results of DEMATEL method indicated that quantity of aggregate (w_i = 0.075), ballast (w_i = 0.071), and sub-ballast (w_i = 0.069) are the most important criteria in starting location selection for railroads, where earthquake (w_i = 0.046), excavation cost (w_i = 0.054), and longest distance from borrow pit (w_i = 0.055) were found to be less important criteria. The starting location alternatives were ranked based on TOPSIS, COPRAS and EDAS methods. The A-1 alternative was selected as the most appropriate alternative (Ci = 0.64; Ui = 100%; ASi = 0.81), followed by A-6 alternative (Ci = 0.61; Ui = 97%; ASi = 0.73) and A-7 alternative (Ci = 0.59; Ui = 94%; ASi = 0.60). Even tough different methods were used, they provided compatible results where the same ranking was achieved except three alternatives.

This study identifies novel criteria for the starting location selection of railroad construction based on the data of a railroad project. This study uses different methods for selecting the starting location. Considering the project type and its scope, the model can be used by decision-makers in linear infrastructure projects for which efficient planning and effective location selection are critical for successful operations.

This paper aims to discuss the potentials of interdisciplinary exercises that bring together art and design methodologies in expanding as well as redefining the given methods and principles of basic design in architecture education. The primary purpose is to improve the conventional, well-established principles and methodologies of basic design studios into fresh perspectives.

Focussing on the case study of a basic design studio assignment that translated Richard Serra's Verb List (1967-68) into space-generating operations, the authors analyse how a diagonal interdisciplinary approach to studio pedagogy opened up the basic design studio into the exploration of new concepts and approaches. The assignment encouraged architecture students to productively and creatively engage with a significant art historical work for the purposes of design thinking and exploration.

Findings reveal that the students explored the possible reciprocal influences between materials, actions, and issues of form and organisation, thereby operating in an interface between art, architecture and design surveying the possible interactions between these disciplines. Based on the outcome of this studio exercise, the authors argue that designing assignments that would bring together various and sometimes even conflicting approaches of different fields allow us to reassess and conceptualise anew the pedagogical aims and modi operandi.

The research is original in the ways in which it suggests many possibilities of dialogue, interaction and collaboration between art, design and architecture studios.

The purpose of this paper is to identify key social medial channels which pharmaceutical firms need to consider when desiring to understand consumer behavior, build, maintain and proactively manage relationships. Also, it proposes the application of analytic hierarchy process (AHP) sensitivity analysis algorithm to test the stability or robustness of the priority ranking. Specifically, this paper leverages performance sensitivity analysis to evaluate how small changes (perturbation) in the major objectives of the pharmaceutical relationship marketing (PRM) tactics within the social media environment will influence the ranking of the alternative course of actions.

This paper used AHP-based questionnaire survey to evaluate the relative importance of factors accounting for PRM and the impact of social media channels. The major objectives and the alternative strategies used were from literature reviewed. Interviews with senior managers were insightful and helpful in the wording, content and format of the questionnaire.

Customer engagement is the most important PRM tactic, followed by communication and trust. The performance sensitivity analysis carried out on the PRM tactics showed that the ranking associated with social media channel options remained robust or insensitive to small perturbations.

The data procured for this paper were based on one focal pharmaceutical firm. Convincing the same to grant an interview and late responding to the questionnaire was a great challenge.

Social media impact on pharmaceutical marketing relationship is important for pharmaceutical marketers. PRM bodes well with the social media environment. Pharmaceutical industry can build and maintain relationships with consumers through social media. Firms that leverage social media to enhance their PRM tactics will be viewed favorably in terms of trust, transparency, openness and honesty. The results provide pharmaceutical marketing managers with insightful and valuable information with respect to the role or social media impact on the PRM. The AHP model, objectives and their relative importance provide valuable information for managers on how to monitor the values that matters to customers the most.

This paper is one of the very few on the PRM and perhaps the first that examines social impact leveraging the AHP model. In addition, this paper contributes to the relationship marketing literature by leveraging a multi-criteria decision-making algorithm to prioritize the most important factors accounting for the PRM strategies.

Vloggers (video bloggers) have emerged as a new phenomenon in social media marketing, especially in the hotel industry, where user-generated reviews can strongly influence purchase decisions. Therefore, this paper aims to build an electronic word-of-mouth (eWOM) adoption model (EAM) that incorporates source evaluation attributes (information quality, major influence and source credibility), trust in eWOM and eWOM intention (EWOMI) and booking intention and investigate the moderation of negative reviews from vloggers on relationships in the EAM.

This paper conducted two studies (n_s1 = 446, n_s2 = 374). The data were collected through an online and face-to-face survey with an experimental design. This paper conducted covariance-based structural equation model to examine main effects and applied a multiple-group analysis to test the moderating effect of vlogger reviews.

Three attributes of source evaluation are important predictors of trust in eWOM, which positively impact eWOM and booking intention. EWOMI also positively affects booking intention. Moreover, the negative review of vloggers can lower the effects of information quality on trust and of trust on EWOMI in Study 1 and on hotel booking intention in Study 2.

This study builds the EAM model for the hospitality context and provides novel insights into the moderating effects of vloggers’ negative reviews on the relationships in the EAM.

Vlogger（视频博主）已成为社交媒体营销中的一种新现象, 尤其是在酒店行业, 用户生成的评论可以强烈影响购买决策。 因此, 本文旨在建立一个电子口碑 (eWOM) 采用意向模型（EAM）, 该模型包含来源评估属性（信息质量、主要影响力和来源可信度）、对电子口碑的信任、eWOM intention (EWOMI) 和预订意愿, 以及 (2) 调查视频博主对 EAM 中关系的负面评论的调节。

当前的研究进行了两项研究（n_s1 = 446, n_s2 = 374）。 数据是通过带有实验设计的在线和面对面调查收集的。 本文使用 CB-SEM 来检查主要效果, 并应用多组分析来测试 vlogger 评论的调节效果。

来源评估的三个属性是网络口碑信任度的重要预测指标, 对网络口碑和预订意愿产生积极影响。 EWOMI 也对预订意愿产生积极影响。 此外, vlogger 的负面评论可以降低信息质量对信任的影响, 以及信任对研究 1 中的 EWOMI 和研究 2 中的酒店预订意愿的影响。

这项研究为酒店环境建立了 EAM 模型, 并提供了关于视频博主负面评论对 EAM 中关系的调节作用的新颖见解。

This article aims to evaluate total quality management (TQM)-enabling factors' impact on corporate social responsibility (CSR) activities and business performance through evidence from Vietnamese coffee firms.

Based on collecting data via in-depth face-to-face interviews with employees, who are working in the Vietnamese coffee companies. The partial least squares structural equation modeling (PLS-SEM) approach has been employed to investigate the relationship among the TQM-enabling factors, corporate social performance (CSP) and business performance.

A total of 13 TQM-enabling factors have been identified and divided into two categories, namely human and functional. The statistical results revealed a positive signal to remarkably enhance CSP and business performance by adopting those TQM-enabling factors into Vietnamese coffee firms.

The framework model of this research should be evaluated in different contexts worldwide or in another sector that can further identify the TQM-enabling factor and the correlation among these constructs.

This article provides top managers of Vietnamese coffee firms with knowledge of TQM-enabling factors that may enable them to meet superior performance, including CSP, finance and reputation.

This is a unique study to employ the approach into the Vietnamese coffee industry context up-to-date, which is one of the essential sectors affecting Vietnam's sustainable development.

This research investigates the impacts, compatibility and suitability of robot chefs in a restaurant context from the perspective of human chefs.

Based on a qualitative research approach, semi-structured interviews were conducted with 27 chefs working in restaurants in Türkiye.

The study revealed the positive and negative impacts of robot chefs in restaurants, spanning aspects such as competitiveness, labour/human resources, financial, service quality, creativity and innovativeness and sustainability. The findings also shed light on the lack of necessary humanoid chef competencies of robot chefs and the suitability of restaurant concepts for their use.

Although previous research has explored the integration of automation and robotics in hospitality experiences and the perceptions of guests towards robot chefs, a significant gap exists in understanding the viewpoints of human chefs. This study makes a novel contribution to the theoretical and practical understanding of the use of robot chefs in the kitchen and the dynamics of their interaction with human chefs.

The recent innovations of Industry 4.0 have made it possible to easily collect data related to a production environment. In this context, information about industrial equipment – gathered by proper sensors – can be profitably used for supporting predictive maintenance (PdM) through the application of data-driven analytics based on artificial intelligence (AI) techniques. Although deep learning (DL) approaches have proven to be a quite effective solutions to the problem, one of the open research challenges remains – the design of PdM methods that are computationally efficient, and most importantly, applicable in real-world internet of things (IoT) scenarios, where they are required to be executable directly on the limited devices’ hardware.

In this paper, the authors propose a DL approach for PdM task, which is based on a particular and very efficient architecture. The major novelty behind the proposed framework is to leverage a multi-head attention (MHA) mechanism to obtain both high results in terms of remaining useful life (RUL) estimation and low memory model storage requirements, providing the basis for a possible implementation directly on the equipment hardware.

The achieved experimental results on the NASA dataset show how the authors’ approach outperforms in terms of effectiveness and efficiency the majority of the most diffused state-of-the-art techniques.

A comparison of the spatial and temporal complexity with a typical long-short term memory (LSTM) model and the state-of-the-art approaches was also done on the NASA dataset. Despite the authors’ approach achieving similar effectiveness results with respect to other approaches, it has a significantly smaller number of parameters, a smaller storage volume and lower training time.

The proposed approach aims to find a compromise between effectiveness and efficiency, which is crucial in the industrial domain in which it is important to maximize the link between performance attained and resources allocated. The overall accuracy performances are also on par with the finest methods described in the literature.

The proposed approach allows satisfying the requirements of modern embedded AI applications (reliability, low power consumption, etc.), finding a compromise between efficiency and effectiveness.

This study aims to review the presentation of substance use disorders in older adults, how addiction intertwines with neurocognitive disorders and how to approach this vulnerable population.

Electronic data searches of PubMed, Medline and the Cochrane Library (years 2000–2021) were performed using the keywords “neurocognitive,” “dementia,” “substance use,” “addiction,” “older adults” and “elderly.” The authors, in consensus, selected pivotal studies and conducted a narrative synthesis of the findings.

Research about substance use disorders in older adults is limited, especially in those with superimposed neurocognitive disorders. Having dual diagnoses can make the identification and treatment of either condition challenging. Management should use a holistic multidisciplinary approach that involves medical professionals and caregivers.

This review highlights some of the intertwining aspects between substance use disorders and neurocognitive disorders in older adults. It provides a comprehensive summary of the available evidence on treatment in this population.

Past research is mixed on family small and medium-sized enterprises’ (SMEs) use of external advisors and the limited empirical evidence is confined to developed markets. Drawing on the knowledge-based view of the firm, this research focuses on the “familiness” characteristic of SMEs and their use of external accountants as advisors in an emerging marketplace. Using internal resources for basic tasks is proposed to strengthen this relationship from a managerial cognition lens. Focusing also on SME internalization, this research probes the performance ramifications of using external accountants as advisors.

Hierarchical regression is used to test the hypotheses. The mediation hypothesis is tested by bootstrapping the indirect effect. The interaction hypothesis is visualized with simple slope analysis.

The results indicate that the familiness of SMEs is positively associated with the use of external advisors, and thereby, with high performance. SMEs with higher international exposure also use these external advisors to a greater degree. Family SMEs that have a focused use of internal resources for basic tasks benefit more from the use of external accountants for advising tasks.

This research sheds light on how family involvement in management influences firm performance, showing the moderating role of the use of internal advisors for basic tasks and the mediating role of the use of external accountants for advising. We add to the knowledge-based view by describing how family SMEs can utilize internal and external knowledge resources simultaneously.