Search results

Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries.

The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results.

The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries.

The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries.

Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.

This thesis deeply studies the impact mechanism of digital service trade on the high-quality development of the manufacturing industry from the aspects of technological innovation and industrial structure.

In this thesis, 40 countries from 2010 to 2020 were selected as samples, and the panel fixed-effect model and intermediary effect model were used to empirically analyze the impact path of digital service trade on the high-quality development of global manufacturing.

Overall, digital service trade has a positive impact on the high-quality development of the global manufacturing industry. Through the analysis of the intermediary effect mechanism, it is found that digital service trade can further positively affect the high-quality development of the global manufacturing industry by promoting technological innovation and industrial structure upgrading.

Based on the empirical results, targeted countermeasures and suggestions are given in this paper.

Through the test of national heterogeneity, it is found that in developing countries, digital service trade mainly acts on the high-quality development of the manufacturing industry by promoting industrial structure upgrading.

In developed countries, digital service trade mainly promotes the high-quality development of manufacturing through technological innovation; from the perspective of industry heterogeneity, the three service industries of information and communication technology (ICT), other business services and property have the intermediary effect of technological innovation and industrial structure.

This manuscript suggests that trade in digital services should be promoted as a national trade priority.

This paper aims to create a conceptual model that connects learning organizations, service innovation and technology acceptance.

The importance of the interaction of variables benefiting both individuals and organizations has been comprehensively explained by combining two well-known theories – learning organizational theory and service innovation theory – with the technology acceptance model. In the first part of the study, conceptual model has been constructed and then applied to the hospitality industry of which results have been presented in the second part of this paper.

It is hypothesized that learning organization, service innovation and technology acceptance have significant relationships. It is also suggested that the learning organization plays an intermediary role in the relationship between technology acceptance and service innovation. Empirical results in this regard have been presented in the second part of the paper.

The relations have been established and tested in the hospitality industry in Antalya. However, the model can be applied and established relations tested in other industries.

This research contributes to our knowledge of the intricate linkages that exist between learning organizations, technology acceptance and service innovation. Originality of the paper is related to the novel multilayered model illustrating three-way interactions between the three dimensions of learning organization, technology acceptance and service innovation.

The gastronomy industry is one of the industries in which consumers use technology most frequently, such as robotics, artificial intelligence and automation systems. Service robots are generally defined as online programs that can act independently or under the control of a human that can carry human characteristics such as speaking, understanding and acting. This study aims to examine and evaluate the studies on service robots in the gastronomy industry regarding quantity or quality, to understand the phenomenon more comprehensively, and to determine a holistic perspective. To this end, a qualitative research approach was adopted. Document technique was used to collect data within a systematic literature review framework, and the data were analysed by descriptive analysis. According to the findings, the papers on service robots in the gastronomy industry are still in their infancy, and these studies have increasingly gained speed in the last five years.

As the restaurant industry is a representative service industry, long-living restaurants could carry the secrets of key factors that are needed to establish “sustainable business models” in service industry. The authors aim to answer the following question: How can restaurants innovate business model sustainably to last for more than 50 years through the era of digital transformation with open innovation dynamics?

Five long-lived restaurants from Daegu, Kyoto and Naples were selected separately by using the snowballing approach, and were analyzed through in-depth interviews and participatory observations.

Restaurants in Daegu have lived long mainly because of adding value to their recipes. Restaurants in Kyoto have lived very long, primarily by decoupling their original services, ingredients and recipes. Restaurants in Naples have enjoyed long lives by coupling or recoupling their ingredients, services and recipes.

The implication is that long-living restaurants or service firms could maintain their own sustainability by dynamically circling the following services: (1) adding and boning recipes (focusing on special menus or products), (2) coupling of ingredients (creative recoupling of original ingredients) and (3) decoupling of services (disconnecting the value chain and rebalancing it).

This study aims to examine whether social capital contributes to service firms' resilience during crisis.

This study measures social capital via environmental and social (ES) ratings and firm performance via buy-and-hold-abnormal returns derived from Refinitiv ESG and CRSP databases. Using a sample of 404 US service firms, this study runs cross-sectional regressions to estimate the effect of social capital on service firms' crisis returns.

This study finds that high-social capital service firms outperformed in the first quarter of 2020. The crisis response is heterogeneous among service sub-sectors and diverges (i.e. calming or deepening) over time depending on social capital. Service sub-sector analysis notably posits that social capital impact is positively related to returns of Health- and Business Services and firms with utilitarian nature. The study also indicates that ES commitments targeting internal stakeholders contribute more to resilience. Overall, social capital might be a relevant value driver, generate real impact and provide insurance-like protection for service firms during turmoil.

The service industry is one of the most severely hit industries during COVID-19. However, there is limited knowledge about whether and when social capital creates value in the service industry during crises. This study makes two main contributions: first, it extends to the continuous efforts toward the role of social capital in firm performance, and second, it provides important insights related to the resilience search for service firms.

This paper aimed to identify the impact that Industry 4.0 can have on the service sector and how its combination can generate benefits for Sustainability 4.0 in the context of the Triple Bottom Line.

A Systematic Literature Review (RSL) was developed using the following combinations of keywords on the Web of Science and Scopus databases: Industry 4.0 And Sustainability, Industry 4.0 And Service, and Industry 4.0 And Sustainable Development, in which 24 papers were selected.

As a result, the authors found 100 benefits for sustainable development, which were further categorized into 54 advantages for the economic area, 25 for the social segment and 21 for environmental aspects. In this way, the results can help private companies understand the use of these technologies aimed at sustainable growth, plus bolstering the government to conduct public policies to encourage these practices in technology organizations.

As a practical implication, this study offers insight into the evolution of sustainable development. It enables the emergence of works that wish to explore the service sector, providing relevant information for decision-making and influencing managers and policymakers on the importance of applying Industry 4.0 toward the sustainability of the service sector and its applications.

The originality of this study lies in expanding the understanding generated by 4.0 technologies, by diverting attention from the manufacturing and agricultural sectors, which have abundant literature on the subject. With this, this work demonstrated that modern technologies have greater possibilities of an action directed at the service sector, in addition to being able to contribute to Sustainability 4.0 from the perspective of the sustainability tripod.

Variations in customer expectations pose a challenge to service quality improvement in the airline industry. Understanding airline customers' expectations and satisfaction help service providers improve their offerings. The extant literature examines airline passengers' expectations in isolation, neglecting the overall impact of online reviews on service quality improvement. This paper systematically evaluates the airline industry's passengers' expectations and satisfaction using expectation confirmation theory (ECT) and the SERVQUAL framework. The paper analyzes online reviews to examine the relationship between airline service quality attributes and passengers' satisfaction.

The SERVQUAL framework was employed to examine the effects of customer culture, the reason for traveling, and seat type on customer's expectations and satisfaction across a large sample of airline customers.

A total of 17,726 observations were gathered from the Skytrax review website. The lowest satisfaction ratings were from passengers from the USA, Canada and India. Factors that affect perceived service performance include customer service, delays and baggage management. Empathy and reliability have the biggest impact on the perceived satisfaction of passengers.

This research increases understanding of the consumer expectations through analysis of passengers' online reviews. Results are limited to a small sample of airline industries.

This study provides airlines with valuable information to improve customer service by analyzing online reviews.

This study provides the opportunity for airline customers to gain better services when airline companies utilize the findings.

This paper offers insights into passengers' expectations and their perceived value for money in relation to seat types. Previous studies have not investigated value for money as a construct for passengers' expectations and satisfaction relative to service quality dimensions. This paper addresses this need.

As a “unicorn” devoted to the rural market, Huitongda has gone through a major evolution since its establish-ment in 2010 from a rural home appliance distributor, a supply chain platform, an O2O service platform to an industry Internet platform of the rural e-commerce ecosystem, based on its deep understanding of the pain points in the rural market and operational experiences. After 2017, as the platform scaled with more vendors, Huitongda was no longer satisfied with selling a single product from urban to rural areas, but was committed to promoting the two-way flow of diverse commodities between urban and rural areas. It also set out to promote employment by entering the rural human resource market, expanding the single-industry O2O service platform to a complete multi-industry ecosystem. In 2018, with a service network covering over 17,000 townships across 20 Chinese provinces, Huitongda's sales reached RMB 35 billion yuan, enabling over 500,000 rural dwellers to start their own businesses or to find employment.

However, the depth, breadth and complexity of the rural industry Internet gradually multiplied, as more member stores joined the business ecosystem with more valuable commodities and services. As a rural industry Internet network owner, how could Huitongda better tap into digitalization in order to support its industry Internet business model and the huge network? How can it further widen the network boundaries to drive more business innovations and maximize network value?