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The authors illustrate that there are significant differences in the wage performance across companies in relation to the digital content of their production and training activities.

Using company-level data from three waves of the Continuing Vocational Training Survey (2005, 2010 and 2015), this paper provides an overview on European firms implementing training and the magnitude of their training effort.

The authors conduct a regression analysis documenting that a wage premium of 9% is associated with companies undertaking training and that an additional 8% is paid by firms arranging training for IT skills-intensive workers. The latter effect is pervasive across sectors and is not strictly related to industry exposure to the digital transformation.

The authors assess the wage effect of training, in relation to the digital content of firm production or job tasks, using a large set of European companies (112,000), from countries with different degree of specialisation and institutional setting. The analysis covers a significant period of time of the last wave of digitalisation (2005, 2010, 2015).

The aspect of economic contrast seen in developing countries shoots primarily from the structure of loan allocation to the micro, small and medium enterprises (MSME) sector, which is essential for job creation and understanding the role of microfinance institutions (MFIs) in meeting the credit demands of the vulnerable but vital sector of less developed economies. The study demonstrates the impact of MSME protection in terms of both fixed and adjustable factor coefficient settings, creating a model of a small open economy with three sectors: a skill-intensive export sector; a capital-intensive import competing sector; and a labour-intensive import competing and intermediate products producing sector. It analyzes the types of protection that aid in the expansion of credit and the alleviation of capital constraints, which further highlights the insufficiencies of tariff protection for the organized sector and simple credit guarantee policies to provide adequate credit flow and thus continued MSME growth. Finally, it considers the importance of priority sector lending policies in ensuring adequate credit distribution to this sector. The results show that protection helps in enhancing flow of credit and thereby works to relax the capital constraint. However, the tariff protection for organized sector may positively or negatively affect the non-traded unorganized sector.

Purpose. This chapter discusses the challenges and different strategies to increase skill development for the future workforce.

Methodology. Multiple sources on the topic were studied and reviewed in this chapter. The idea of skill and its development is discussed in the literature review.

Findings. Different nations’ governments have promoted human capital development by providing up-skilling and retraining programs to balance supply and demand. Skills gaps need to be brought to the attention of stakeholders, such as governments, businesses, and the educational system. Teachers, employers, and other stakeholders need to develop strategies and action plans to ensure that the skills gaps are appropriately identified and adequately addressed. These initiatives must be developed with input from various stakeholders.

Practical Implications. The research results would inform the curriculum, incorporating skill development processes tailored to various scenarios. These findings would aid business organisations in crafting skill development programs that address identified skill gaps. Challenges in skill development would be taken into account during course development, and relevant teaching–learning materials would be created. Key stakeholders, such as accrediting organisations, employers, and students, should exert more influence on academic institutions to prioritise societal demands for economic development.

Originality/Value. The uniqueness and significance of this chapter lie in its concise summary of the strategies to tackle the hurdles in skill development.

The purpose of this paper is to evaluate the impact on student work readiness outcomes of collaboration with employers in developing and delivering tailored graduate employability workshops in socio-emotional skills for work (SES4Work).

Framed by the CareerEDGE model of graduate employability, the authors piloted a five-session module for near graduates in five disciplines. The research included an online employer survey (n = 128), employer interviews (n = 21) and tailored workshops for near graduates, culminating in a mock competency-based interview. Using a pre/post-test design, participants (n = 24) also completed the CareerEDGE Employability Development Profile (EDP) and the Trait Emotional Intelligence questionnaire (TEIque).

After completing the module, there was a statistically significant improvement in participant scores on the CareerEDGE EDP +12.3%, p < 0.001, effect size (Cohen's d) 0.89, large, and the TEIque +6.4%, p = 0.009, effect size (Cohen's d) 0.61, moderate. Furthermore, 70% (n = 17) of participants were “hired” based on their mock interviews, with 12% (n = 4) offered employer connections after graduation.

This is the first academic research in Ireland to develop and evaluate an enterprise-collaborative, discipline-specific module for enhancing graduate employability. Findings suggest that employer collaboration can enhance the efficacy of employability interventions and therefore merits further research.

The impact of COVID-19 on tourism destinations has been severe, but a future crisis is never far away. How communities can better prepare for disasters to come in the near future continues to be researched. This research aims to understand the tourism community’s responses to the COVID-19 pandemic and present the Tourism Community Resilience Model as a useful instrument to help communities better respond to disasters in the future.

This research uses a qualitative research approach which seeks to understand phenomena, events, social activities, attitudes, beliefs, perceptions and individual and group opinions that are dynamic in character in accordance with the situation in the field. Research primary data is in the form of Kuta Traditional Village local community responses in enduring the COVID-19 pandemic conducted between January and May 2022. These data were obtained through in-depth observations and interviews involving informants based on purposive sampling, including traditional community leaders, village officials, tourism actors (i.e. street vendors, tourist local guides, taxi drivers and art workers) and tourism community members. We selected the informants who are not only directly impacted by the pandemic, but also some of them have to survive during the pandemic because they do not have other job options. The results of previous research and government data concerning the pandemic and community resilience were needed as secondary data, which were obtained through a study of the literature. The data which had been obtained were further analysed based on the Interpretative Phenomenological Analysis (IPA) technique, which seeks to make meaning of something from the participants’ perspective and the researchers’ perspective as a result there occurs a cognition of a central position.

Based on findings from Bali, Indonesia, this resilience model for the tourism community was created in response to the difficulties and fortitude shown by the community during the COVID-19 pandemic. It comprises four key elements, namely the Local Wisdom Foundation, Resource Management, Government Contributions and External Community Support. These elements are all rooted in the concepts of niskala (spirituality) and sekala (real response); it is these elements that give the tourism community in the Kuta Traditional Village a unique approach, which can inspire other tourism destinations in other countries around the world.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

The existence of the resilience model strengthens local community social cohesion, which has been made stronger by the bonds of culture and shared faith in facing disaster. This social cohesion then stimulates the strength of sustainable and long-term community collaboration in the post-pandemic period. For tourism businesses, having strong connections with the local communities is an important condition to thrive.

The value of this research is the Tourism Resilience Community Model, which is a helpful tool to optimise and improve future strategies for dealing with disasters. Illustrated by this Balinese example, this paper emphasises the importance of adding social factors such as niskala and sekala to existing community resilience models. Addressing these local characteristics is the innovative aspect of this paper and will help inspire communities around the world to prepare for future disasters better and build more sustainable and resilient tourism destinations elsewhere.

This meta-analytical review aims to clarify the relationships between three bundles of human resource management (HRM) practices—competency-enhancing, motivation-enhancing and opportunity-enhancing—and organizational innovation by addressing two questions: (a) Which types of HRM bundles are most strongly related to different forms of innovation (i.e. process and product innovation)? And (b) Which mechanism provides a stronger explanation for the positive effects of HRM bundles on innovation?

Based on data from 103 studies, a meta-analysis was conducted to quantitatively summarize existing HRM–innovation studies at the organizational level.

The results showed that the competency-enhancing bundle was more positively related to product innovation than the motivation-enhancing and opportunity-enhancing bundles. The opportunity-enhancing bundle was most strongly associated with process innovation. The authors further found that knowledge management capability (KMC) and employee motivation mediated the positive relationship between the three HRM bundles and innovation outcomes. In comparing the two mechanisms, this review suggests that KMC better explains both the impact of the competency-enhancing HRM bundle on product innovation and the effect of the opportunity-enhancing bundle on process innovation.

Based on behavioral and knowledge management perspectives, this study takes a sub-bundle approach to providing an integrative review by comparing the direct effects and mediating paths of HRM bundles on product and process innovation.

The aim of this study is to define the aspects of place attachment and their effect on migratory behaviour. It also aims to identify the connection between migration decision-making and workforce supply at the source, as well as to track the impact of adequate employment supplies and the improvement on employment generation.

A primary study was conducted among the migrants who returned back during nationwide lockdown with the help of tested structured questionnaire. The variables identified through review of literature and pilot study are tested using a structural equation modelling model.

The result exhibited that all hypothesised relationships had a positive and significant connection. The overall results showed there is a significant and positive connection between place attachment and migratory behaviour, and both have a positive impact on economic activity.

This survey is conducted in the districts of West Bengal, India. There are several documents on the connection to the place attachment and the migratory behaviour. There are, however, no studies focusing on place attachment and its effect on economic activity on West Bengal, India, where migration is a serious problem. This is the first article that discusses three main concepts together such as place attachment, migratory behaviours and its influence on the economic activity of the districts of West Bengal, India.

Stable high growth in the service sector has made India free from the stigma of slow and steady ‘Hindu rate of growth’ of about 3.5% per annum during the first three decades of independence. Service-led growth has placed India among the top performing giant economies in the world. India is now a 3 trillion USD (United States Dollar) economy in terms of Nominal GDP (IMF, 2020). Under this milieu, the chapter aims to examine whether the growth in the service sector in India is inclusive or not. The observations of the study have shown that the service sector has been growing at fast pace compared to the other two sectors, which makes the system into jobless status. The sectoral contribution of service sector to the GDP is increasing after the new economic reform of 1990, but the employment contribution is going down. So the country is now in the grip of ‘jobless’ growth, and the grip is strengthening because of some structural issues such as changes in consumers’ demand with rising per capita income. Further deepening of finance capital in the savings sphere of service sector has made the wide disconnect between the real economic activity and growth of finance capital. Revival of high linkage sectors with higher potential for employment growth, such as agriculture and manufacturing, can be game changer towards the goal of inclusiveness.

The purpose of this study is to estimate revealed comparative advantage and normalized revealed comparative advantage (NRCA) indices of India’s computer and information services (CIS) export competitiveness with regard to information technology (IT) competing developing nations, such as China, Philippines, Malaysia and Brazil.

Using annual data of total exports for CIS, transportation (TNS), travel (TVL) and insurance (INS) services under service categories of the balance of payment, the present study estimates the pattern of comparative advantage (CA) in India’s CIS exports with respect to IT competing developing nations such as China, Philippines, Malaysia and Brazil from 2000 to 2018. The choice of the study period is determined by the availability of consistent data on IT service exports of these nations. The study also estimates the export position of CIS export in comparison to India’s traditionally strong commercial services export of TNS, TVL and INS during the study period.

Both the indices showed that India had a strong CA in CIS compared to the selected nations, indicating India’s relative export performance to be stronger than that of China, Malaysia, Philippines and Brazil. The cross-service index showed that India’s relative specialization level in CIS with respect to the world’s average specialization level was stronger than its relative specialization level in TNS, TVL and INS services. Furthermore, The NRCA cross-nation index showed that India’s NRCA index score has been declining since 2010 with respect to these nations, which implied a decline in the competitiveness of CIS. On the other hand, NRCA has increased in the case of Philippines, Malaysia and Brazil for most of the period post-2010.

IT is a dynamic area of economic activity, and when the pace of change is so rapid, the relevance of individual factors can change over time. The study period is also limited to the available data.

The paper has implications for attaining sustainability in IT export growth. It is suggested that policies are directed at enhancing the overall performance of IT sector.

The novelty of the present study lies in the estimation of India’s competitiveness in IT exports in relation to the group of reference countries. With its policy recommendations, this research is helping to shape the sustainability of the IT sector.