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The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.

Local food impacts tourist satisfaction and drives the choice of a tourist destination. However, it is not clear which attributes of local food products drive tourists’ preferences. More specifically, little is known about potential segments in the tourist market. Acknowledging consumers’ divergent inclinations, we explore tourist preferences toward local food attributes through a market segmentation approach.

This study uses the Best-Worst Scaling method to examine the preferences of 311 tourists for attributes of local food products that are known to affect their choices. We employ a Latent Class Analysis to identify market segments with distinct preferences.

Results indicate that tourists prioritize taste, quality, authenticity, healthiness, connection to local culture and tradition and environmental friendliness over price, appearance, enhancement of local economy, availability and packaging. We further identify three segments: Sensory Seekers, Cultural Experiencers, and Price Conscious. The largest segment, Sensory Seekers, is driven by taste and quality attributes, while Cultural Experiencers prioritize connection to local culture and authenticity. The Price Conscious segment places a greater emphasis on price than the other segments. Cultural Experiencers demonstrate the highest willingness to pay for local food products.

The positioning of local products should target Cultural Experiencers. Agri-firms and state agencies promoting a tourist destination internationally can also use the connection to local culture and authenticity in their marketing campaigns.

Our research contributes to food marketing literature by showing which local food attributes drive tourist preferences. Moreover, we uncover unobservable heterogeneous preferences among tourists.

The purpose of this study is to identify and understand distinct tourist segments in Phuket, focusing on their characteristics, attitudes and perceptions as visitors to a creative gastronomic destination.

In this study, cluster analysis is used to identify tourist segments in Phuket, a well-known United Nations Educational, Scientific and Cultural Organization (UNESCO) gastronomic city. The analysis is based on data collected from 525 domestic Thai tourists.

Cluster analysis revealed three distinct tourist segments: gastronomy enthusiasts, taste discoverers and gourmet wanderers. These segments exhibit significant differences in their characteristics and perceptions of Phuket’s gastronomic offerings.

This study is limited to domestic Thai tourists in Phuket and does not include international visitors. In addition, the findings are specific to the context of Phuket and may not be entirely generalizable to other gastronomic destinations.

The identified tourist segments provide valuable guidance for tourism professionals to tailor their marketing efforts, develop targeted products and meet the preferences of different gastronomically oriented tourists, contributing to the successful management of a gastronomic city.

This study contributes to the fields of destination management and gastronomy tourism by providing valuable insights for practitioners seeking to enhance their offerings and consider the preferences of different gastronomically oriented tourist segments. Identifying these segments enriches the understanding of visitor behavior in creative gastronomy cities.

This chapter aims to determine the prospects for improving the investment climate and developing public–private partnerships (PPPs) based on improving accounting practices. The research was conducted using the regression analysis method, relying on IMD statistics for 2022, relevant as of the first half of 2023. The authors determined the impact of the identified perspectives on improving accounting practices on developing the designated key segments of investment markets directly related to financing economic development. The main conclusion drawn from the results of this research is that the potential for improving the investment climate and developing PPPs in the economy is more fully realized with the refinement of accounting practices. The theoretical significance of this research lies in the discovery of a previously unknown opportunity to align the interests of stakeholders in investment markets linked to the improvement of accounting practices. The scientific novelty of this research lies in reinterpreting trends in investment markets from the perspective of Stakeholder Theory and proposing a new path for their balance through the refinement of accounting practices. The practical significance of this research is determined by the fact that the established cause-and-effect relationships of the development of investment markets and the author's forecast for improving the investment climate and developing PPPs based on the refinement of accounting practices can serve as the basis for developing a roadmap for the development of investment markets in the coming years.

This study aims to examine the strategy of TV9 Nusantara, one of the local televisions in Indonesia, marketing its religious programs when soap operas are the most popular television programs in Indonesia.

This study used a descriptive qualitative method by collecting data using in-depth interviews, observation and documentation.

TV9 Nusantara used a counter-programming strategy to seize viewers from the competing television stations; the prime time is also set differently from other televisions as well as implements a head-sterling strategy to make the audiences loyal to watching TV9 Nusantara programs and not switch the channels.

In Indonesia, three types of television stations are broadcast nationally, publicly or government-owned, central and regional and local television. This study only focused on local television stations whose main program is religious, especially Islam.

The results of this study can underline the importance of establishing segmentation, targets, differentiation and market positioning as well as efforts to create products, prices, places and promotions for journalistic products, especially TV broadcast products and production processes that follow Sharia principles.

This study can inform the public regarding TV Broadcasting products and production processes following Sharia principles.

This study examined the implementation of marketing strategies and the marketing mix on local television, especially television that broadcasts programs that are not the favorites of most viewers.

While there has been a growing interest in the field of Metaverse-related research, its impact on vulnerable segments of the population, particularly those with special needs, is yet to be fully examined. This research develops the underlying scant theoretical knowledge related to the attachment of people with disabilities to the Metaverse and its effects on their need for uniqueness and acceptance of disability, and hence their sense of inclusivity and overall well-being.

The study adopted a quantitative approach using an Internet-based survey. The sample size consisted of 530 Metaverse users with a physical disability in the USA. The proposed model integrates virtual place attachment alongside disabled consumers' need for uniqueness, and acceptance of their physical disability. SPSS and LISREL were utilized for data analysis and SEM.

The study underscores the complexity of the interplay between virtual place attachment, disability acceptance and the need for uniqueness among physically disabled users in the Metaverse. It investigates how the attachment to virtual spaces by people with disability influence their psychological well-being.

This research adds to the interactive marketing and disabled consumer psychology literature exploring the theoretical and practical implications from an attachment and need for uniqueness theory perspectives.

This study aims to analyse how multinational corporations (MNCs) organise value chain activities to penetrate new market segments. It contributes by expanding traditional decisions regarding the vertical fine-slicing of value chain activities (whether performed internally or externally) and the consideration of resource-sharing decisions (integration or separation) for each value chain function.

The authors draw on primary data collected from two case study firms operating in the large emerging Chinese market: Volvo Construction Equipment AB and Epiroc AB. In-depth cases illustrate how foreign MNCs expand into new market segments and simultaneously target both the lower-priced mid-market and the premium segments in the Chinese mining and construction industry.

The results reveal that product diversification creates challenges for managers who must oversee new (vertical) value chains, often simultaneously. Beyond geography and modes of governance, managers must decide whether to integrate or separate value chain activities for the new product lines. The study identifies four main strategic choices for firms to address this complexity, focusing on the decision to internalise or externalise (i.e. within or across organisational boundaries) and integrate or separate value chain activities between different product lines.

This study builds upon the internalisation theory and recent international business contributions that focus on value chain configurations to explain MNCs’ product diversification as a growth strategy in a host emerging market. It also sheds light on the choice of conducting new activities in-house or externally and elucidates firms’ managerial decisions to operationally integrate or separate individual value chain activities. The study provides insights into the drivers explaining managerial decisions to configure value chain activities across product lines and contributes to the growing body of literature on MNC activities in emerging economies by highlighting that product diversification impacts entry mode diversity and resource sharing across units.

This study aims to explore and segment consumer preferences for electric and hybrid vehicles in Germany, Sweden, the Netherlands and Turkey, focusing on understanding the various factors that influence consumer decisions in these markets.

Using latent class analysis (LCA) on data collected through online surveys and discrete choice experiments, this research categorizes consumers into distinct segments. The approach allows for a nuanced understanding of how various factors such as income level, fuel cost, age, CO₂ emissions, purchase price, vehicle range, policy policies and environmental concerns interact with shape consumer preferences.

The analysis uncovers significant heterogeneity in consumer preferences for electric and hybrid vehicles across Germany, Sweden, the Netherlands and Turkey, revealing four key segments: “Eco-Driven Innovators,” “Value-Focused Pragmatists,” “Tech-Savvy Early Adopters” and “Reluctant Traditionalists.” “Eco-Driven Innovators” prioritize environmental benefits and are less sensitive to price, demonstrating a strong inclination toward vehicle CO₂ emissions and policy policies. “Value-Focused Pragmatists” weigh economic factors heavily, showing a sharp interest in fuel costs and purchase prices but are open to considering electric and hybrid vehicles if they present clear long-term savings. Technology-savvy early adopters are attracted by the latest technological advancements in vehicles, regardless of the type, and are motivated by factors beyond just environmental concerns or cost savings. Lastly, “Reluctant Traditionalists” exhibit minimal interest in electric and hybrid vehicles due to concerns over charging infrastructure and upfront costs. This detailed segmentation illustrates the diverse motivations and barriers influencing consumer choices, from governmental policies and environmental concerns to individual financial considerations and technological appeal.

This study stands out for its pioneering application of LCA to dissect the complexity of consumer preferences for electric and hybrid vehicles, a methodological approach not widely used in this research domain. Using LCA, the authors are able to uncover nuanced consumer segments, each with distinct preferences and motivations, providing a depth of insight into market dynamics that traditional analysis methods may overlook. This approach enables a more granular understanding of how diverse factors – ranging from environmental concerns to economic considerations and technological attributes – interact to shape consumer choices in different countries. The findings not only fill a critical gap in the existing literature by mapping the intricate landscape of consumer preferences, but also offer a novel perspective on strategizing market interventions. Therefore, the application of LCA enriches the discourse on sustainable transportation, offering stakeholders, manufacturers, policymakers and researchers – a refined toolkit for navigating the evolving market dynamics and fostering the adoption of electric and hybrid vehicles.

Gillette’s historically successful “razor and blade” business model (RBM) has been a promising benchmark for multiple businesses across diverse industries worldwide in the past several decades. The extant literature deals with very few nuances of this business model notwithstanding the fact that there are several variants of this business model being put to practical use by firms in diverse industries in grossly metaphorically equivalent situations.

This study adopts the 2 × 2 truth table framework from the domains of mathematical logic and combinatorics in fleshing out all possible (four logical possibilities) variants of the razor and blade business model for further analysis. This application presents four mutually exclusive yet collectively exhaustive possibilities on any chosen dimension. Two major dimensions (viz., provision of subsidy and intra- or extra-firm involvement in the making of razors or blades or both) form part of the discussion in this paper. In addition, this study synthesizes and streamlines entrepreneurial wisdom from multiple intra-industry and inter-industry benchmarks in terms of real-time firms explicitly or implicitly adopting several variants of the RBM that suit their unique context and idiosyncratic trajectory of evolution in situations that are grossly reflective of the metaphorically equivalent scenario of razor and recurrent blades. Inductive method of research is carried out with real-time cases from diverse industries with a pivotally common pattern of razor and blade model in some form or the other.

Several new variants of the razor and blade model (much beyond what the extant literature explicitly projects) have been discovered from the multiple metaphorically equivalent cases of RBM across industries. All of these expand the portfolio of options that relevant entrepreneurial firms can explore and exploit the best possible option chosen from them, given their unique context and idiosyncratic trajectory of growth.

This study has enriched the literature by presenting and analyzing a more inclusive or perhaps comprehensive palette of explicit choices in the form of several variants of the RBM for the relevant entrepreneurial firms to choose from. Future research can undertake the task of comparing these variants of RBM with those of upcoming servitization business models such as guaranteed availability, subscription and performance-based contracting and exploring the prospects of diverse combinations.

Smart entrepreneurial firms identify and adopt inspiring benchmarks (like razor and blade model whenever appropriate) duly tweaked and blended into a gestalt benchmark for optimal profits and attractive market shares. They target diverse market segments for tied-goods with different variants or combinations of the relevant benchmarks in the form of variegated customer value propositions (CVPs) that have unique and enticing appeal to the respective market segments.

Value-sensitive customers on the rise globally choose the option that best suits them from among multiple alternatives offered by competing firms in the market. As long as the ratio of utility to price of such an offer is among the highest, even a no-frills CVP may be most appealing to one market segment while a plush CVP may be tempting to yet another market segment simultaneously. While professional business firms embrace resource leverage practices consciously, amateur customers do so subconsciously. Each party subliminally desires to have the maximum bang-to-buck ratio as the optimal return on investment, given their priorities ceteris paribus.

Prior studies on the RBM have explicitly captured only a few variants of the razor and blade model. This study is perhaps the first of its kind that ferrets out many other variants (more than ten) of the razor and blade model with due simplification and exemplification, justification and demystification.