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The purpose of this paper is to offer a point of view on the challenges China faces competing in a twenty‐first century software industry.

The approach taken was desk research and conversations with other academics and industry experts.

The paper suggests that China needs to overcome weaknesses in managerial and technical skills and focus on international markets where it is positive strengths.

India provides some important and practical lessons for China's emerging software industry including those Chinese firms looking to increase their export revenues and presence around the globe.

This paper provides insight into the issues and challenges faced by the Chinese software industry looking to expand within a global economy. The paper may also prove useful to those researchers interested in emerging economies.

Software has become increasingly important in business. However, the value of aggregate in-house and packaged software investments and the influence of an industry's software investment opportunities (SIOs) are poorly understood in the literature. This study addresses this research gap and proposes that an industry's SIOs play an essential role in the economic impacts of industry in-house and packaged software investments.

A model of the economic impacts of in-house and packaged software investments at the industry level under different SIOs is developed and empirically tested based on a panel dataset of private industries in the USA between 1998 and 2020.

The results show that with the increase in the number of SIOs in an industry, the economic performance of in-house software investments increases, while that of packaged software investments decreases.

By highlighting the role of SIOs in moderating the economic performance of in-house and packaged software, this study shows the critical role of the information technology (IT) environment in understanding software's economic value.

Nowadays, an increasing number of firms choose to develop proprietary software, instead of buying packaged software. What factors will affect different types of software investments? According to the environment-strategy alignment research, environment should be an influential factor. However, environment's role has received scarce attention in the literature. The authors' study addresses this research gap by investigating how industry environment affects different types of software investments. The study identifies three types of software investments (software insourcing, outsourcing, and buying) and examines how the characteristics of the industry environment (including industry munificence, dynamism, and concentration) influence each software investment.

The generalized least squares (GLS) model and the ordinary least squares with panel-corrected standard errors (OLS-PCSE) model are applied to test the hypotheses, based on industry-level panel data from the US Bureau of Economic Analysis (BEA).

The analysis shows that industry munificence, dynamism, and concentration have different impacts on software insourcing, outsourcing, and buying, respectively.

This study classifies software investment into three types – software insourcing, outsourcing, and buying and investigates how the industry environment affects them. The findings suggest that research should distinguish among software insourcing, outsourcing, and buying due to their different characteristics.

In less than three decades the entertainment software industry has emerged as a huge industry, with sales larger than Hollywood movie box office sales. Yet, little is known about this industry. Stereotypes about the industry may not be correct. This paper seeks to address this knowledge gap.

The paper identifies what is known, and what needs to be known. The paper reviews the literature and adds data from the most recent reports available.

The literature has been slow to address this industry. It has not even been clear what to call this industry. (Some people still call it the video game industry.) The most basic marketing issues still need to be researched, i.e. customer benefits sought and segmentation. A typology of game genres is proposed.

This paper is the first overview of the entertainment software industry from a marketing perspective.

The purpose of this paper is to discuss the trends in relative efficiency of software companies in India during 1999-2008 by applying input-oriented data envelopment analysis (DEA) model. Based upon the PROWESS Database of Centre for Monitoring Indian Economy (CMIE), the efficiencies were estimated for the Indian, multinational and group companies. Also, relationship between efficiency and size is examined.

The study applied DEA to measure relative efficiencies of software companies and two different DEA models, CCR and BCC, were applied to evaluate the relative efficiency of the sample software companies in India. Comparisons of efficiency scores based on ownership were carried out by applying ANOVA and t-statistics.

The mean overall technical efficiency (OTE) of the software industry in India during 1999-2008 was low at 0.477. The mean pure technical efficiency for the industry for the study period was found to be 0.654 suggesting that software firms, on an average, were wasting 35 per cent of their inputs. It was observed that the Indian-owned companies have relatively high OTE score as compared to foreign owned and group owned companies. The mean OTE score of PI companies was found to be greater than the other two categories. In terms of, size it is observed that medium sized companies performance better.

Software companies can use DEA to examine their performance against the best performers in the industry. Software industry in India, which is doted by large number of small firms in the lower part of the size pyramid, needs to increase their size to improve their efficiency.

Research on measurement of service sector export oriented industry efficiency is limited. This paper is one of the few published studies examined service sector performance. This paper fills the gap in the literature by applying DEA in software industry in India and compares performance in terms of ownership and size.

Enterprise software is a predominant sector in the European software industry. Four of the five largest European software companies are found in this sector. Interestingly, two of these — among them SAP as one of the two global market leaders — are located within the same industrial agglomeration in South-Western Germany. This agglomeration, the SAP cluster, further consists of enterprise software SMEs forming a ‘satellite system’ centred around the large players, which fosters the formation of ‘mutualistic symbiotic’ relationships between large and small firms. At first sight, cluster formation in the context of the enterprise software industry might seem perplexing considering that traditional rationales of agglomeration economies seem obsolete in an environment where advances in communications technology would permit companies to locate in any location within a modern developed economy instead of concentrating in proximity to each other or to major players in the industry. This chapter explores possible explanations of this agglomeration phenomenon based on patterns of competition, collaboration and the formation of social capital between smaller firms and large anchor firms.

The findings of a comparative analysis between the SAP cluster environment and two categories of controls (firms in other agglomerated environments and those unaffected by agglomeration effects within Germany) show that SAP cluster SMEs might simultaneously benefit from heightened intensity of competition and a more pronounced inclination towards collaboration. Moreover, the role of social capital derived from SAP as anchor firm clearly differentiates SAP cluster participants from firms located within other environments.

The purpose of this study is to investigate the barriers that prevent workers in the software industry from experiencing flow in their work.

This study was conducted by using a qualitative critical incident technique-inspired questionnaire.

The findings suggest that workers in the software industry perceive that the most obvious obstacles to experiencing flow are related to work not presenting enough cognitive challenges and situational barriers related to the characteristics of the job (e.g. workdays having too many interruptions and distractions, timetables often being considered too tight for creative exploration and problem solving and having negative user experiences with development tools).

The findings provide insights into flow barriers, specifically barriers that prevent workers in the software industry from experiencing flow.

InfoMall is a program led by the Northeast Parallel Architectures Center featuring a partnership of approximately twenty‐four organizations with a plan for accelerating development of the High‐Performance Computing and Communications (HPCC) software and systems industry. HPCC is a critical technology where the United States has clear international leadership and which will have unprecedented impact on industry, education, society, and defense. The communications component of HPCC is critical to developing HPCC products. Acceptance of HPCC by these real‐world sectors has been delayed by the extremely hard problem of HPCC software development. InfoMall employs a novel technology development strategy involving closely linked programs in technology extraction and certification, software development, marketing, education, and training, economic development, and small business support. The process is constructured and explained by analogy to a full‐service set of stores in a shopping mall.

The purpose of this paper is to define and analyze the innovation system of China's software industry in order to build its innovation capability.

From a complex adaptive systems (CAS) perspective, the authors researched the constitution and operating mechanism of China's software industry innovation system. By using methods and theories of CAS theory, the innovation problems of the software industry in China were analyzed and valuable suggestions put forth for its future development.

Innovation system is one kind of complex systems and it has the characteristics of CAS.

Quantitative analysis of the software industry innovation system should be emphasized in the next stage of research.

The paper provides a new perspective and useful advice for technology policymakers.

The paper applies CAS theory to the area of social management and provides a new approach to study industrial innovation systems.

Haulage contractors are always looking for ways of improving efficiency and reducing costs. These usually rely on better management practices. Computers are now an almost essential management tool and it would be reasonable to suggest that truck operators should be heavy users of computer software. There seems to be a considerable amount of software available to them, but it has been suggested that this is not widely used. To see if this is true a survey of the trucking industry was done in Alberta, Canada. This survey showed an unexpectedly low use of computers, with a preference for general business software rather than specialised packages designed for truckers. Operators often suggested their use of computers was limited by a shortage of adequate software. Overcoming this shortage could offer considerable benefits to both the trucking industry and software suppliers.