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This paper aims to explore how the competence-based vocational education and training (VET) curricula facilitate shaping of work values of VET students. It discusses methodological and ideological orientations of competence-based VET in teaching work values and discloses the typical characteristics of teaching work values in the VET system of Lithuania.

A quantitative research approach leading to a survey method is adopted to investigate how VET students acquire and apply work-related values and attitudes to work.

The survey of the VET students has disclosed that students are open to accepting different values of work, including cognitive values, social prestige and altruist values. However, orientation of the VET curricula to and provision of instrumental values lead to relatively weak internalization of the work values related to societal and spiritual dimensions.

The paper provides empirical evidence regarding the implications of the competence-based curricula for teaching students work values in the school-based VET.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

The key learning objectives are as follows: analyze Mamaearth’s growth trajectory in the Indian market, illustrate the meaning of a direct-to-consumer (D2C) brand, analyze the importance of social media in building a D2C brand, analyze the challenges and advantages associated with a D2C brand, analyze growth and expansion options available with Mamaearth and evaluate the strategies for Indian start-ups in the beauty and personal care space.

In 2016, what began as a quest to find safe baby care products for the first-time parents Varun and Ghazal, turned into an entrepreneurial opportunity. The couple started Honasa Consumer Private Limited at Gurugram, which owned the brand Mamaearth. Conceived as a D2C brand for mothers opposed to harsh baby care products, it debuted with just six baby care products with exclusive online availability. For the brand to grow, it recreated the marketing mix to be perceived as a brand for all ages. The step successfully garnered a customer base of over 1.5 million consumers in 500 cities and a valuation of INR 1bn within four years of operations. In February 2021, Mamaearth became a brand with INR 5bn annualized revenue run rate and aspired to double it to INR 10bn by 2023. Though Mamaearth debuted as a D2C brand, after tapping around 10,000 retail stores, the Alaghs realized that many consumers still preferred transacting in the offline space. Alaghs decided to expand by acquiring a robust offline space in 100 smart cities in India. Would it be wise for Mamaearth to take forward their offline expansion plans? Alternatively, would an aggressive product innovation coupled with a more substantial online presence be a more sustainable proposition?

The case study is appropriate for Post Graduate Diploma in Management/Master of Business Administration level courses of second year in strategic brand management, digital marketing, integrated marketing communication and marketing strategy. The case stuudy may also be useful for prospective entrepreneurs planning to embark upon a D2C venture. The case study elaborates on the emergence, marketing and branding of Mamaearth. The case study helps students understand the meaning of a D2C brand and the growth options available in the Indian market for a D2C brand from the perspective of Mamaearth.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This study aims to investigate how companies’ understanding of the business network influences the creation of value in business-to-business relationships. The authors do this by analysing dimensions in actors’ “network pictures” and illustrating how value perception and network understanding influence actors’ mutual effort to create value. Approaching relationship value from the point of actors’ cognitive understanding of their business network has so far been largely overlooked in relationship value research.

This study applies a qualitative case study methodology whereby dyadic data from a well-established business-to-business relationship is collected from 18 company representatives through personal interviews and group interviews supplemented by participant observations and company data.

The findings contribute with new insight into how companies’ understanding of their surrounding network influence (facilitates or limits) relationship value creation. The authors find that companies continuously reflect on changes in their networks and the related changes in partners’ value perceptions. Through value articulations, companies seek to explicitly express their value perception. Value reflections and value articulations create a dynamic process formed not only by the individual actor but also through their relationship and engagement in their network environment. This requires companies to develop their networking capabilities.

This paper presents findings, insights and contributions limited to a case study of a particular business relationship within an industrial setting. Although the findings and contributions are valid and in line with the criteria for rigorous qualitative research, the authors advocate and call for additional studies that investigate relationships value creation and address the interplay between actors’ network understanding and their actions and behaviour. One way to approach this would be to test the four propositions derived and presented as part of the present study.

The findings imply that management needs to be aware not only of the value created and delivered to a specific partner but also of how the partner’s understanding of the wider network will influence the value delivering and capturing process.

This study contributes to the growing literature on relationship value creation by outlining a dynamic process where relationship partners reflect upon and articulate value. Such activities are influenced by the partners’ network understanding and form the basis of the mutual relationship value creation effort. The findings also contribute to the network pictures literature by emphasizing insights into the formation of value perceptions through actors’ understanding of their surrounding networks.

The effects of country-of-origin (COO) cues on product evaluations are well documented. However, research on the relative effects of COO compared to other geographical indicators, such as region-of-origin (ROO), on food purchases is still limited. This study investigates how geographical origin labels influence consumers' perceptions of product value and authenticity of foreign food, as well as subsequent purchase intention (PI) and willingness to pay premium prices (WTPPP). The moderating role of health consciousness on these relationships is also examined due to the coronavirus disease 2019 (COVID-19) pandemic.

This study uses a between-subjects experimental design conducted with 300 middle- and high-income Chinese consumers aged between 25 and 50 years. Hypotheses were tested using structural equation modelling.

Whilst under both COO and ROO cues, all five product values positively influenced consumers' WTPPP, only functional, economic and novelty values influenced PI. The ROO cue performed significantly better than the COO cue in eliciting functional, economic and novelty value perceptions, which triggered stronger PI and willingness to pay a premium price. These relationships were mediated by product authenticity (PA) and moderated by consumers' health consciousness (HC).

Because food labels provide salient product information that facilitates consumers' evaluation of products, marketers should assess which product value perceptions they wish to enhance and then choose the appropriate geographical indicators for their labelling strategies.

This study identifies the effects of COO and ROO cues on product values, authenticity, PI and WTPPP. It also provides valuable insights into the role of HC on consumers' purchase decisions, which also aids in understanding the impact of global crises on food purchases.

The first purpose of this study is to identify the suitability of a framework that includes ADEPT (i.e. ambience, delivery, environment, product and technology) service quality constructs, distinct perceived value and customer satisfaction. The second purpose is to not only observe specified connectivity in a comprehensive and complex structural model but also reveal key mediators for better linkages. The third purpose is to detect any moderating effects of the knowledge-learning experience between ADEPT constructs and satisfaction.

The causal relationships, mediating effects and moderating effects were analyzed using partial least squares-based structural equation modeling (PLS-SEM).

Based on the ADEPT value-added framework, the higher the ADEPT service quality constructs, the more satisfied the general attendees are through the distinct mediating role of perceived value. Moreover, the influence of service delivery on satisfaction is strengthened with high-level knowledge-learning experiences.

The optimized fit of the ADEPT service quality constructs that are significantly linked to distinct perceived value was theoretically conceptualized and empirically identified in this work. The complex connections and degrees of significant influence throughout the entire process of the ADEPT constructs, distinct perceived value and satisfaction serve here as the basis (i.e. framework) for establishing strategic marketing management in exhibitions. Furthermore, the knowledge-learning experience acts as a key moderator to further increase satisfaction.

The study utilized the consumption value theory to explore the motivational factors that define and differentiate the users and nonusers of fashion rental services

A focus group was conducted to generate an initial list of measurement items. These items were refined through a pretest and then used in a self-administered online questionnaire to collect data from a total of 300 users and 300 nonusers. The collected data were analyzed using factor analysis to identify the factors that define users and nonusers. A MANOVA was then conducted to explore the differences in the identified factors between users and nonusers.

Using factor analysis, nine factors were extracted across the five consumption values (functional, social, emotional, conditional and epistemic). MANOVA revealed a significant difference between users and nonusers across all factors. Further analyses suggested that the most differentiating factors are two emotional value factors and one social value factor.

Despite existing studies of fashion rental services, it is debatable whether the phenomenon is fully understood since previous studies primarily focus on consumers who engage in fashion renting services – there is a lack of focus on nonusers. This study provides unique contributions by exploring the phenomenon from both the user's and the nonuser's perspective.