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Because of the COVID-19, the digital transformation of global hospitality and tourism speeds up. This paper aims to provide comprehensive frame of the digital transformation for further hospitality and tourism research.

Through conducting a critical review of the impact of COVID-19, the current situation about the application of digital technology and digital transformation in hospitality and travel, this study used a qualitative approach to present the viewpoints.

This research presents a theoretical research framework for the hospitality and tourism about digital transformation, including possible directions, contexts and methods. It highlights the importance of digital transformation, and further proposing specific research topics.

This research brings valuable implications and guidance for future research from the aspects of key research streams, research context and methodological approaches in hospitality and tourism about digital transformation.

This paper supplies existing critical reviewed research through paying attention to the digital transformation approach in hospitality and tourism, providing research guidance technically to the industry of hotels and travel.

IT is accorded a central role in Malaysian Industrial Master Plan 2 (IMP2), not only as the foundation for the future development of the manufacturing sector, but also, as the engine of development and growth of other sectors of the economy. To fulfill this central role, what should be the value of IT Products and IT Services? We have computed the necessary capital stock of IT Products at RM21.556 billion in 1978 prices, each unit of which is to produce five times its value in output in the year 2005, for a start. The targeted output of IT Services would be another RM 21.556 billion in 1978 prices, for a total of RM43.112 billion for IT industry in 2005. Bill Gates, Chairman and CEO of Microsoft Corporation, holds that Broadband Network Technology (BNT) indispensable to implement the Information Highway would not be available to most US homes for at least a decade. No matter when BNT arrives, an overriding question is: what will be the UTILIZATION of the exploding multimedia content of the Information Superskyway. How will people USE 1,000 times the current content, arriving 1,000 times as fast? The raison d'etre of the Information Superskyway is the Matrix of Learning, with Content as the rows, Context as the columns, and Learning as the Cells. The user has to identify his (her) context of use (entertain‐ment, education, enlightenment, edification). Investment in input (con‐tent) will depend on the answer to the question: By how much will the context be impaired by delay or deficiency of the content (data)? As the capacity of chips increases exponentially, the price drops dramatically — already it is down to $0.14 per megabyte! In the future, a holographic memory of the size of one's fists could hold the contents of the entire Library of Congress. With fast and furious developments in transfer and transformation of multi‐media content, how should one go about investing in IT to reap the bounty of BNT? We have no guarantee of success; we can increase the probability of success in the long‐run using seven IT investment Considerations/Criteria: (1) Choose the “Long‐run” that is realistic: Consider the odds against surviving one year, let alone 10 years; and choose wisely. (2) Choose Your Segment of the IT Industry: Are you most competent in: communications, computers, or content industries? What is your primary product: information, education, enlightenment, shopping, or e‐mail? (3) Choose Your CONCOL competitor/collaborator in the IT Industry: No matter how powerful you are in your chosen segment of the industry, it is almost mandatory that you collaborate with some other(s) in your own industry, and/or in another of the C3 industries. Bill Gates says: “companies must be able to partner on some projects and compete vigorously in others. Few companies in the computer and communications industries are purely friends or purely foes.” (4) Choose the Technology/Territory Area for CONCOL: How will the CONCOLs be formed and dissolved‐in: (1) Technology, (2) Territory? The choice of future technology would depend on the territory: How long would it take for the particular technology to develop a mass market? In IT parlance, should we back advances in: (I) transfer of data, or (2) transformation of data? (5) Choose the Technology Transformation Profile: Visualizing technology say, five generations ahead would indeed be quite hard and hazardous. But we would choose linear extensions of performance characteristics over Quantum jumps. However, PC industry experience suggests that each successive computer generation tended to provide Quantum jumps, little of the earlier models being useable with the new generation. (6) Choose the Technology Transfer Sequence: By establishing a relationship with the techtransferor over the long‐term, and scrupulously observing the mutually‐agreed conditions of techtransfer, the transferee can steadily increase its technical competence. (7) Fiercely Focus on the UTILIZATION of the Exploding Multime‐dia Content: To make IT win in the marketplace, the mere increase in the volume of content or the mere increase in the speed of its transmission is quite inadequate. What will make the difference is the learning that is made possible by the multimedia content and communication.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

The information technology industries (computer software, telecommunications, data processing services, and information services) are among America's strongest service industries. These are industries in which Japanese policy makers and businesses are striving to gain competitive advantages (Congress of the United States, 1987), as Japanese information technology firms have not been considered very competitive in the international marketplace (Enderwick, 1990; Porter, 1990).

Federal attempts to stimulate technological innovation have been unsuccessful because of the application of an inappropriate policy framework that lacks conceptual and empirical knowledge of the process of technological innovation and fails to acknowledge the relationship between knowledge production, transfer, and use as equally important components of the process of knowledge diffusion. This article argues that the potential contributions of high‐speed computing and networking systems will be diminished unless empirically derived knowledge about the information‐seeking behavior of the members of the social system is incorporated into a new policy framework. Findings from the NASA/DoD Aerospace Knowledge Diffusion Research Project are presented in support of this assertion.

The purpose of this paper is to find the specific competitive industries in emerging industries of strategic importance of each province in China in order to provide references for industrial cultivation and development.

This paper uses quantitative analysis methods on RCA and R&D efficiency.

Different provinces have specific competitive emerging industries of strategic importance. Taking biotechnology, equipment manufacturing, and new generation of information technology industry as examples, this paper finds: for the advanced equipment manufacturing industry, Shaanxi, Sichuan, Guizhou, Tianjin, Liaoning, Heilongjiang and Jiangxi provinces have obvious characteristics and relatively high R&D efficiency; for bio‐technology, Jiangsu, Henan, Jiangxi, Hunan, Zhejiang and Shandong provinces have obvious characteristics and relatively high R&D efficiency; and for the next generation of the information technology industry, Jiangsu, Guangdong, Fujian, Beijing, Tianjin and Shanghai provinces have obvious characteristics and relatively high R&D efficiency.

This study is limited by lack of industrial comprehensiveness so that more statistical data about emerging industry of strategic importance is needed for more in‐depth analysis.

The identification of specific competitive emerging industry of strategic importance of each province will give managers and policy makers train of thought for the cultivation and development of strategic emerging industry and make future policies more targeted.

The paper contributes to the research on the differentiated cultivation and development tactics of strategic emerging industry by, respectively, finding out the specific competitive emerging industries of each province in China.

A study of Korean service firms found that the level of information technology use is significantly related to the performance of the marketing function. Support was lacking only for the categories of “use of outside database” and “networking between mainframe computer and PCs.” In addition, the form of information technology use is significant in its contribution to the performance of the marketing function. This study supports the argument that benefits of information technology investment can be identified. Furthermore, there is evidence of a time lag in the payoffs from information technology, because the benefits of connectivity have not yet been realized.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

The purpose of this paper is to examine the dividend initiation announcements made by firms in the information technology sector as defined in a modern system of industrial classification.

On the basis of a modern classification of the information technology industry, the authors examine a wide range of corporate performance and management measures to discriminate between the two theories of the information revealed by the announcement of dividend initiations, the signaling, and life cycle theories.

The empirical results are more consistent with the corporate life cycle theory of dividends than with the information signaling hypothesis. This finding helps clarify the nature of the information revealed by the announcement.

The paper has clear implications for investors who are interested in the growth prospects of technology firms, or for others interested in their prospective stability and degree of maturity.

An information‐driven, techno‐economic paradigm based on the microprocessor has emerged and is having a direct impact on the formation and management of strategic alliances. Strategic alliances are being forged between members of the computing, telecommunications and media industries to develop a supporting information infrastructure. Technology from the new infrastructure will affect strategic alliance activity in most industry sectors. Presents a brief review of strategic alliance definitions and taxonomies. Analyses a case study of an international hotel group operating within the Australasian region using a selected strategic alliance taxonomy against a range of information and communication technologies. Presents some key findings relating to the implementation of these technologies and their impacts on forming and managing strategic alliances.