In the past decade the level of prosocial behavior has raised some concerns, whereas an empathic concern, one of the main predictors of prosocial behavior, is decreasing. Lack of empathy and less forgiving attitudes are one of the main characteristics of entitlement Entitlement, or feeling of deserving more than others, is negatively related to pro-social behavior (Campbell et al., 2004). In H1, we suggest that entitled individuals engage in prosocial behavior more when there is an opportunity to self-enhance vs. when there is no opportunity to self-enhance.

A new type of food created in laboratories – lab grown meat (LGM) is an alternative to traditional animal farming and attracting attention of media, industry experts and consumers. Why is this new product so controversial? It is claimed that cell-based meat production is more environmentally friendly, ethical and sustainable than traditional methods that involve animals. Hence, being less harmful and potentially slowing down environmental degradation that leads to climate change. However, consumers have concerns regarding product quality, sourcing of cells used for production and use of growth serums. So many differing views are present, even before LGM is introduced as a marketable product. This paper examines what drives public discourse regarding how this new industry can be regulated, technology and how social media posts, fake news and publicly available rhetoric address consumer concerns and consumer acceptance regarding this new food category.

Imagination plays a critical role in travel decision-making. Given the intangible nature of tourism products, tourists cannot directly experience and evaluate the tourism resources in advance. Thus, tourists must first mentally predict and imagine the future travel experiences and scenarios in the destination based on the marketing information (e.g., travel photo, promo video) and prior knowledge, then form their subjective evaluation of the travel product. This future-thinking process is called “mental simulation”. Stacks of research have shown that mental simulations positively affect travel behavior (Le et al., 2019). However, given that travel is a kind of novelty-seeking activity, tourists are usually not familiar with the destination environment and activities. The lack of prior knowledge might inhibit their mental simulation process, even if destination photos and videos are provided. Thus, how to effectively arouse tourists’ mental simulation of destination experience is an important question for effective tourism marketing.

The objective of this study is to compare the efficiency of VR and 2D in the tourism industry as marketing tools, using affective forecasting and purchase intention. Accordingly, this study has two primary research aims. The first is to examine if a higher level of mental imagery (resulting from VR) is more effective than a lower level (2D) in a tourism marketing context. To evaluate this, the researchers use experimental method, measuring predicted dominance, predicted pleasure and predicted arousal, as well as purchase intention towards the hotel. Relevant to the tourism industry, tourism products are spatially and temporally distant (vs. near). This study aims to investigate how differently mental imagery, resulting from VR (versus 2D) experience, generates affective forecasting of a tourism product when tourists plan distant (versus near) future trips (temporal distance).

Expressing political stances is not rare among service providers such as taxi drivers and chefs. For instance, in 2021, a restaurant owner angry at the death of U.S. soldiers during the evacuation of Afghanistan posted a sign on the front door telling Biden supporters to eat elsewhere (Miller 2021). Given findings from research on brand activism, consumers can be expected to have less favorable attitudes toward service providers who are more politically different from them. However, if service providers who are politically opposite are more competent than ones who are politically identical, would consumers still choose politically identical but less competent service providers? To our knowledge, no research has been conducted to examine what factors influence consumers’ choices between more competent but politically opposite service providers and less competent but politically identical service providers. To fill that gap, in our research, we examined the role of consumers’ political ideology (i.e., conservative vs. liberal) in making trade-offs between more competent but politically opposite service providers and less competent but politically identical ones.

B2B marketers increasingly encounter a pressure to be digitally present in digital channels and to generate content that is tempting in driving potential customers to interact with the company online (Wiersema, 2013; Andersson & Wikström 2017). This is what B2B lead nurturing is about as the objective of lead nurturing is to provide the audience with relevant and valuable content which leads to an increased brand interest and awareness, with the goal of bringing in new customers (Marketo, 2023). To better understand how prospects and leads react to digital content, companies can build lead scoring into a strategic tool for the salespeople to qualify the prospective customers down to a list of leads, meaning prospects who are considered the most likely to convert to a positive business outcome and to be contacted in person by the salespeople (Järvinen & Taiminen 2016; Paschen et al. 2020).

This research focuses on analyzing the impact of a recommendation system on customer behavior in the e-commerce industry. The study examines the use of big data-driven product recommendations and tailored promotions to enhance customer engagement, conversion rates, and revenue generation. The importance of prioritizing customer engagement in the early stages of the purchasing process is emphasized, and key statistics related to customer behavior in e-commerce are presented. The objective of this research is to investigate the effectiveness of a recommendation system in influencing customer behavior and driving conversions in the e-commerce industry. The research design incorporates a case study analysis of a prominent marketplace in Indonesia. Data was collected from three automation trigger campaigns: browsing abandonment, wishlist/cart abandonment, and purchase reminders. The findings of the research indicate that a recommendation system based on big data has a significant impact on costumer behavior in the e-commerce industry. The research highlights the importance of prioritizing customer engagement and implementing effective recommendation systems to drive conversion rates and revenue in the e-commerce industry.

The use of artificial intelligence (AI) service robots is on the rise. With service frontlines gradually shifting to human–robot interactions, the question of whether AI robots should be humanlike or machinelike has emerged. While many firms use robots that resemble humans in their appearance and actions, others use machinelike robots, assuming that very humanlike robots may lead to uncanny valley effects. There is no consensus on whether the anthropomorphism of service robots facilitates or constrains consumers’ experiences. To fill this gap, this article examines when and how service companies should use anthropomorphic AI service robots.

Technologies, such as Artificial Intelligence (AI) and robotics are emerging as a new way to improve services, readjusting and impacting all business industries and relationships among people (Loureiro et al., 2021; Makridakis, 2017; Mingotto et al., 2020). The hospitality industry is no exception to this (Mingotto et al., 2020) since a quick growth in the use of robots and AI in this industry has registered a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). However, very few of the existing studies highlight the customers’ perspective and sentiments on service robots (Luo et al., 2021) or the robot-human interactions/ customer service experience (Choi et al., 2021). Thus, further studies in the enhancement of human well-being through transhumanistic technologies, close relationship marketing capabilities, and the evolution of the engagement process between humans and AI-enabled machines are necessary (Loureiro et al., 2021). This research intends to understand how different types of robots influence customers’ perception of the service provided. Therefore, the following research questions are proposed; Can humans develop feelings of identification with a service robot? Can the identification that customers perceive between themselves, and service robots be strong enough to influence the creation of a close relationship between both parties? What are the features of service robots that heighten customer well-being?

A secure digital platform (SDP) can provide B2B marketers with confidence to use communications technology (CT) and engage in information sharing that facilitates resource utilization. Interlinked digital platforms constitute the company’s ecosystem and barriers in the form of a lack of skills and knowledge in relation to governance and compliance can be overcome through organizational intervention that is external to an individual’s capability of control. A framework for an SDP was developed by utilizing network theory and data were collected via an online survey and analysed (n=207) using SEM, AMOS. Organizational intervention through an SDP can help B2B marketers to increase the organization’s resource capability through improved interaction. It can also help individuals to become pro-actively compliant and be less at risk from various threats (e.g., fake news) as the organization provides a safer digital environment.

지금껏 시행된 성별 다양성 정책의 목적은 주로 남성 중심으로 제도화된 차별적인 문화와 그로 인한 여성의 과소 활용을 해소하기 위함이었다. 따라서 그동안의 성별 다양성 연구는 여성을 소수집단으로 전제하고 이들을 우대하는 성별 다양성 정책을 펼친 경우에만 집중되었다. 하지만 주류집단과 소수집단의 개념은 맥락에 따라 달라질 수 있으 며, 사회에는 여성 중심적 직업군 역시 상당수 존재한다. 이에 본 연구자들은 남성이 수혜자가 되는 다양성 정책에 대하여 남성과 여성 구직자가 각각 어떠한 반응을 보이는지를 탐구하였다. 본 연구는 대학생 329명(남성 156명, 여성 173명)을 대상으로 2(성별: 남성, 여성) × 2(다양성: 유리, 불리)의 참가자 간 실험 설계로 진행되었다. 참가자들은 가상 기업의 신입사원 채용 공고에 제시된 다양성 단서를 보고, 해당 기업에 대한 조직 공정성 및 조직 매력도를 평가하였다. 그 결과, 먼저 구직자들은 채용 공고에 제시된 다양성 단서가 본인에게 유리(vs. 불리)할 경우 성별에 따라 조직의 분배공정성 및 절차공정성을 다르게 인식하였다. 구체적으로 남성 구직자보다 여성 구직자가 채용 공고 에서 본인에게 유리(vs. 불리)한 다양성 단서를 접하게 되었을 때 조직의 분배공정성 및 절차공정성을 높게 인식하였 다. 또, 다양성 단서와 조직 매력도의 관계를 조직 공정성 인식이 매개하였고, 이 매개효과가 성별에 의해 조절되었 다. 이때 여성의 경우에는 다양성 단서와 조직 매력도의 관계에서 조직의 분배공정성 및 절차공정성 인식을 통한 매개효과가 둘 다 유의하였으나, 남성의 경우에는 조직의 절차공정성 인식을 통한 매개효과만이 유의하였다. 이 결 과는 같은 내용이나 수준의 다양성 관리라 하더라도 개인의 사회적 지위나 소속집단에 따라 다르게 인식되며, 이로 인해 차별화된 태도 및 행동으로까지 이어질 수 있다는 점을 시사한다.

디지털 트랜스포메이션은 기업의 경영 전략적 관점에서의 조직, 프로세스, 비즈 니스 모델, 커뮤니케이션의 광범위하고 근본적 변화를 요구하고 있으나, 성공적인 트랜스포 메이션의 핵심 선제요건 중 하나는 구성원의 IT(Information Technology) 역량이다. 공학적 배경 지식 없이 기술경영을 전공하는 학생들은 비교적 단기간에 경영관리 능력과 IT 역량을 동시에 키워야 하는 난제에 처해 있다. 이러한 이유로 효과적인 IT 역량 교육 방법은 기술경 영학 분야의 교육 이슈 중 하나로 부각되고 있다. 본 논문은 디지털 트랜스포메이션의 흐름을 주도할 수 있는 학생들을 양성하기 위한 IT 역량 교육은 “무엇”을 “어떻게” 가르쳐야 할 것 인가라는 질문에 대한 답을 찾기 위한 하나의 사례로서, 서강대학교 기술경영 전문대학원의 IT 관련 커리큘럼 리노베이션의 과정과 현재까지 교육과정 실행 결과를 제시한다. 특히, IT 역량 교육의 출발점이자 진입장벽이 되는 기초 프로그래밍 교육 과정의 피드백 결과에 대한 충분한 논의를 통해, 기술경영대학원 학생들을 위한 효율적인 IT 교육의 운영 방향에 대한 선행 참조사례를 제공하는 데 본 논문의 목적이 있다.

연구의 목적은 노인의 건강증진 행위가 삶의 만족도에 미치는 영향을 파악하고, 주관적 건강상태가 이 두 변수 사이에서 유의미한 매개변수로 작용하는지 확인하는 것이다. 이를 통해 성공적 노화를 위한 의료 복지서비스 개입전략 수립에 필요한 기초자료를 제공하고자 한다. 이를 위해 <고령화연구패널(KLoSA) 제8차년도(2020년)> 원자료를 사용하였고, 문헌적 고찰을 통해 노인의 건강증진 행위, 주관적 건강상태, 삶의 만족도 사이의 관계를 규명하는 연구모형을 구축하였다. SPSS 25.0, SPSS PROCESS Macro의 Model 4.2 프로그램을 사용하여 인구통계학적 특성에 대한 빈도분석, 기술통계, 상관분석, 위계적 회귀분 석, 부트스트래핑(Bootstrapping)을 실시함으로써 유의성을 검증하였다. 본 연구의 주요 연구결과는 다음 과 같다. 첫째, 노인의 건강증진 행위의 수준이 높을수록 주관적 건강상태가 양호하다. 둘째, 노인의 건강 증진 행위의 수준이 높을수록 삶의 만족도가 더 높다. 셋째, 노인의 주관적 건강상태는 건강증진 행위와 삶의 만족도와의 관계에서 유의미한 매개변수로 작용한다. 본 연구는 이런 연구결과를 바탕으로 노인의 삶의 만족도 향상을 위한 정책적·실천적 함의를 논의하였다.

This paper explores the L2 motivation of 11 students about to start studying English as junior college English majors. The participants took part in a ten-day L2 motivational program designed to help them with L2 skills and life on campus. To understand how they participated in the program, data gathered from online learning logs were coded using qualitative thematic analysis. Consequently, the participants shifted to embody ‘none to something’ qualities in terms of L2 selves and effort during the program. That is, they established self-images to believe in when using and learning English, which eventually developed into effort-driven attitudes and behavior. The students also set goals and plans according to their L2 selves created or revealed during the program. Although the program was comparatively short with a small number of participants entering a junior college, the findings indicate that an L2 motivational program for new adult students could be conducive to promoting and sustaining their effort, L2 selves, and motivation.