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Organizations across industries are increasingly using Artificial Intelligence (AI) systems to support their innovation processes, supply chains, marketing and sales and other business functions. Implementing AI, firms report efficiency gains from automation and enhanced decision-making thanks to more relevant, accurate and timely predictions. By exposing the benefits of digitizing everything, COVID-19 has only accelerated these processes. Recognizing the growing importance of AI and its pervasive impact, this chapter defines the “social value of AI” as the combined value derived from AI adoption by multiple stakeholders of an organization. To this end, we discuss the benefits and costs of AI for a business-to-business (B2B) firm and its internal, external and societal stakeholders. Being mindful of legal and ethical concerns, we expect the social value of AI to increase over time as the barriers for adoption go down, technology costs decrease, and more stakeholders capture the value from AI. We identify the contributions to the social value of AI, by highlighting the benefits of AI for different actors in the organization, business consumers, supply chain partners and society at large. This chapter also offers future research opportunities, as well as practical implications of the AI adoption by a variety of stakeholders.

This study analyzes how tech firms can implement the modern wave of subscription-based business model (SBBM), including value proposition, value creation, value capture and performance. In fact, these elements push tech firms to move from traditional to SBBMs.

To achieve the objectives of this study, we initially construct a theoretical framework for applying SBBM. Subsequently, we employ qualitative research to examine the current implementation of the subscription-based economy within tech firms.

A successful SBBM necessitates capturing value through sustainable revenue transactions and revising aspects of the value proposition, creation and capture. Continuous improvement through business value analysis is imperative. Additionally, an agile operations system is vital to address revenue complexities, enable data collection and enhance value proposition, service innovation, churn rate and customer retention, which are essential for SBBM maintenance.

This study delves into how the subscription-based economy is reshaping the business models of tech firms. Beyond exploring the theoretical foundation of this transformative path, this study offers actionable insights on enhancing the value proposition, creation, capture and business value within subscription-based economy frameworks.

With the growing economic impact of e-commerce and the increasing trend of omnichannel mode, more considerate services can be provided to customers. This paper aims to explore the optimal practice of business strategies and enrich the research content of marine tourism omnichannel.

This paper studies the optimal practice of bundling pricing and service effort strategies between two tourism suppliers (TSs) and a travel agent (TA) who distributes complementary products in marine tourism omnichannel considering joint efforts of both sides. This study develops five models by Stackelberg and Nash game and introduces the revenue-sharing contract. All outcomes/results are analyzed and the corresponding numerical and sensitivity analyses are conducted to derive more managerial implications and business insights.

The main findings show that bundling price is directly proportional to inter-channel integration coefficient and service effort level coefficient, and inversely proportional to the price elasticity coefficient. TA tends to provide a higher level of service effort than TSs when TA plays a dominant role. Improving the service effort level unduly leads to a decline in profits. Moreover, TSs and TA can reach a win-win situation under the coordination mechanism and the marine tourism omnichannel can achieve the best performance.

A novel and useful approach towards joint equilibrium decisions of bundle pricing and service efforts in marine tourism omnichannel with complementary tourism products under different operational strategies is proposed.

This study assesses the impact of marital status towards customer-centric measures in a Canadian ski resort using the importance-performance map analysis (IPMA) as the analytical framework. For the purpose of this paper, the three groups that were assessed included singles, partnership without children and partnership with children as marital status indicators. From the theoretical and especially managerial point of view, knowing the importance and the performance of the relevant ski resort-related customer-centric perceptions is of key importance.

A survey was completed to assess customer-centric measures including customer satisfaction, repurchase intent, value for money, willingness to recommend, overall performance in terms of meeting expectations, relationship quality and skiing service quality. An IPMA was conducted with partial least square-structural equation modelling (PLS-SEM) to assess the importance-performance perceptions of the three marital status groups.

The results indicated that for five of the seven customer-centric measures, there were significant differences between the marital status groups. Overall, singles appeared to have the lowest values in customer-centric measures, whereas respondents living in partnership with children had the highest. This was also the case with the value for money perceptions, although the cost for the ski resort visit was likely to be the highest for the respondents living in partnership with children. There were also differences between the marital status groups in terms of the importance-performance evaluations.

Results of this research have implications for ski resort management as the three marital status groups appear to perceive the customer-centric measures quite differently in the IPMA framework.

Lean Startup (LS) has gained considerable traction in the startup scene, especially within digital firms where the concept finds the concept's genesis. However, there are more and more calls in the entrepreneurship literature to study LS's application beyond the digital context. The purpose of this study is to explore the applicability of LS within the largely under-researched context of non-digital entrepreneurs. To structure the authors' understanding of the participating entrepreneurs' cognitive and behavioural logic, effectuation theory is applied.

To explore how LS is applied in non-digital settings, this study analyses the LS approach of 15 Dutch brick-and-mortar and click-and-mortar Small to Medium-sized Enterprises (SMEs) and startups.

This study provides empirical evidence that non-digital entrepreneurs pursue an effectual logic in their LS approach. However, the entrepreneurs' LS approach appeared to be contextualised to the non-digital contexts' inherent constraints and trade-offs. Such contextualisation calls for a particular set of skills and competencies, including applying mixed-methods cross-validation, affinity and passion for craftsmanship and aesthetics, inferring from limited, qualitative, and often skewed data, establishing an empathetic collaborative relationship with customers and suppliers, and leveraging prior market knowledge and experience.

This study advances the current understanding of the LS applicability and gives a more nuanced account of how LS is practised in the context of non-digital firms, the challenges entrepreneurs involved in non-digital firms need to overcome, and the skills and competencies they need to possess. In practical terms, the findings help non-digital entrepreneurs and coaches to be more heedful of the contextual peculiarities when employing LS.

There is an ongoing challenge to map the efficacy of e-retailing strategies in building both value co-creation opportunities for online customers and customer value for companies. Based on the service-dominant (S-D) logic, an integrative model is provided that connects the impact of convenience and personalisation strategies (CPSs) on an e-retailer's performance – by offering co-creation opportunities and customer engagement.

The survey instrument is validated and the model is tested with data from active online customers using a novel methodology that blends artificial neural network (ANN) analysis with partial least squares (PLS) in both the measurement model and the path analysis.

The findings robustly support the model and yield evidence of the contribution of CPSs in effective value propositions, the interface between the S-D logic and customer engagement, and the direct effect of customer engagement on tangible forms of value for companies.

This study is the first scholarly effort to provide a comprehensive understanding of how and why CPSs can maximise customer value for the e-retailer, while simultaneously testing the customer value/engagement interface with a new blended ANN-PLS method.

This paper aims to analyze the factors that affect the attitudes of Armenian small and medium enterprises (SMEs) regarding digitalization, examining whether they view it as a tool to foster innovation and business growth, while also assessing the extent to which digitalization mitigated the negative impacts of the COVID-19 crisis.

The empirical approach is based on data collected from 452 Armenian SMEs, which were further analyzed using SPSS Statistics 23.0 software. Scales for assessing the COVID-19 impact, innovation and digitalization were constructed and validated. To test five hypotheses, binomial logistic regression was conducted to appraise the importance of digitalization for Armenian SMEs, including the ability to mitigate the consequences of the recent COVID-19 pandemic.

The results of the analysis showed that the economic sector plays a significant role in forming the expectations of firms on the positive impact of digitalization, while the company size does not affect them. This paper found that the provision of online services before the pandemic did not help Armenian SMEs to be less affected by the crisis. Furthermore, the perception of whether digitalization facilitated innovative processes, products and services did not depend on the degree of being affected by COVID-19. Finally, the findings indicate that the more agile companies which had the ability to convert their business model into an e-business model were less affected by the crisis.

This paper contributes to the literature by studying the effect of digitalization on SMEs, as well as how SMEs in small developing countries like Armenia mitigated the negative effects of the COVID-19 pandemic. The current work is unique as, to the best of the authors’ knowledge, there are no prior empirical studies focusing on impact of digitalization and innovation induced by exogenous shocks in an under-researched country like Armenia.

This research aims to determine the effect of marketing literacy on the success of entrepreneurial projects (EPS) in Palestine.

To attain the study’s purpose, the researchers employed the questionnaire, which was applied to a random sample of 298 individuals from the owners of entrepreneurial projects in Palestine. The data were analyzed and tested using SmartPls 4 software.

The study reached a set of results, including that the level of marketing literacy among owners of small businesses in the Gaza Strip was significantly higher for customer service (CS), management style (MS), technology (T) and customer retention (CR). In particular, the results implied that CS, MS, T and CR significantly and positively affect EPS.

This research would help the start-ups in Palestine spread marketing literacy among the workers in entrepreneurial projects.

Today, most countries tend to support entrepreneurs and owners of creative ideas and entrepreneurial projects through various programs. To the best of the authors'' knowledge, this research is distinguished by its modernity and scarcity in the Arab world, particularly in Palestine. Thus, it would help raise awareness of marketing literacy among owners of entrepreneurial projects and provide empirical evidence of success for those who are about to establish an entrepreneurial project.

The purpose of this paper is to investigate whether guests’ tipping motivations (i.e. server quality, social norm and food quality) and demographic characteristics (i.e. gender, age and income) influence loyalty to the server in a restaurant.

Based on a national online survey consumer panel comprised of 468 participants, the authors utilized decision tree using R statistical software. Predictor variables were tipping motivations and demographic characteristics (age, gender and income). Target variable was loyalty to the server.

The findings suggest that social norm, food quality and income influence customers’ loyalty toward the same server on future visits. Social norm turned out to be the strongest predictor. If consumers did not have high social norm on tipping, their loyalty toward a particular server was affected by the combination of determinants such as server quality, social norm, income and food quality.

Future research can identify or develop scales of tipping motivations with stronger reliabilities in the context of restaurants. Future research can also explore other demographic differences (e.g. ethnicity and sexual orientation) in tipping motivations and server loyalty.

Servers are indeed the primary contact point and they are in the most influential position with consumers. Overall, results of this study provide an interesting insight in that restaurant guests’ experience can be ruined by bad quality of food or can be mitigated by server quality. Thus, this research highlights a step-by-step process as to the actions that a server may perform and manage in order to enhance server loyalty.

Loyalty has been examined in the context of products, brands or service providers. This study focuses on loyalty toward a specific server, because the consideration of server–guest relationship provides both a compelling and timely area of study in that restaurants continue to look for unique ways to drive server–guest rapport and customer loyalty.

The purpose of this study is to answer the following questions. What kind of entrepreneurial identities do students have that motivate them to choose either of the entrepreneurship course and university-based incubator? How do students involve in the entrepreneurship ecosystem at university based on their entrepreneurial identity?

For this study, the author began to gather information using previous knowledge and any aspect of a work, namely, from the literature review to represent interpretive syntheses of the meaning-making literature review addressing the research question.

This study suggests what happens to entrepreneur students from academia and the reason that they end up in one of the two aforementioned paradigms. This paper aims to underpin the issue of how various entrepreneurial identities of students cause substantial contributing factors in forming such entrepreneurial activities at university and throughout the entire innovation ecosystem.

Almost all of the content of the entrepreneurship education (EE) courses and incubator training is oriented towards consensual entrepreneurship methods, in accordance with entrepreneurship education. Although the core contents of the EE courses and university-based incubators’ training are the same, the outcomes are quite different.

This study considers the students’ entrepreneurial identities with a focus on their point of view that led them to end up in one of the two common entrepreneurship resources at universities: the EE course and entrepreneurial activities related to university-based incubators.