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The purpose of this paper is to present an overview of trends of Indian information technology and business processing management (IT-BPM) sector and to analyse the determinants of IT-BPM sector during the period 1991-2014.

The study is based on annual data collected from National Association of Software and Service Companies and Department of Electronic and Information Technology for the period 1991 to 2014. The methodology adopted for studying the objectives are simple averages, percentages, ratios, growth rates, graphs prepared on the basis of data from the IT-BPM sector and regression analysis. Trends and patterns in key variables, such as total revenue, domestic revenue, export revenue, employment and exports of the IT-BPM sector have been examined. Factors influencing IT-BPM export growth have been analysed using ordinary least square multiple regression model, with growth rates of gross domestic product (GDP), labour productivity, exchange rate and previous year’s export, as the explanatory variables.

The export revenue from IT-BPM sector increased continuously over the years, at an average growth rate of 36.60 per cent during the period 1991 to 2014. Similarly, domestic revenue of IT-BPM sector also increased, but at a lower growth rate. This is because domestic market in India is captured by multinational giants against Indian firms, which do not possess full comparative advantage in the case of IT-BPM sector. Indian firms are producing low skill activities required for production, mainly concentrated only in the export sector. Direct employment, excluding hardware from IT-BPM sector, has grown at an average rate of 18.08 per cent over the study period. The determinants of IT-BPM exports indicated previous year’s export demand to be significantly contributing the highest to export growth rate. This was followed by GDP growth rate, implying that overall growth of the economy leads to significant increase in export growth. Increased labour productivity followed next in significantly encouraging export growth.

Generalization of the results may not be possible, as Indian conditions and policies vary.

The paper has implications for the expansion of domestic market, diversification of trade and products, innovations for increasing competitiveness and sustainability in the global market in the wake of stiff competitions from new competitors.

This paper focuses on originality in analysis of determinants of export growth.

Entrepreneurship, Strategic management, Management information systems.

Undergraduate and graduate capstone course in entrepreneurship, strategic management or management information systems courses.

This case study of a young technology firm, Codezin Technology Solutions, helps to analyze the challenges faced by such firms in emerging markets. Such markets are characterized by rapid turbulence in the market characteristics. The authors seek to analyze the role of disruptive regulatory changes, resulting in the growth of new startups, in affecting the growth and expansion of such young firms. Codezin was established in 2009 as a bootstrap company, to provide low-cost IT services to Indian small and medium scale enterprises (SMEs). Despite some initial success, it began to run into losses due to poor coordination and improper planning. After a period of struggle, the company stabilized its revenue from services business and expanded to mobile solutions, digital marketing, etc. But then the government of India announced the Startup India initiative at the beginning of 2016 to boost new ventures. Codezin did not qualify as per the government rules and thus failed to use the various incentives offered. Hence, it needs to determine a new strategy to compete with the onslaught of freshly funded startups but with a relative lack of market experience.

With the case discussion, the students will gain rich insights on technology businesses aimed at SMEs and the impact of changes in the regulatory regime in emerging markets like India. Further, they get to step into the shoes of the co-founders and choose between diversification vs new market development strategies, spurred by market disturbances and thinning competitive advantage.

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CSS 3: Entrepreneurship.

Based on attribute research in marketing, importance-performance analysis (IPA) provides a useful analogy to examine employer branding concepts. The purpose of this paper is to use IPA to evaluate employees’ perceptions of important employer value proposition (EVP) attributes and their corresponding psychological contract fulfillment scores. IPA is applied to 40 EVP attributes and their corresponding EVP dimensions – “Economic Value”, “Development Value”, “Social Value”, “Work Value” and “Employer Reputation.” Further, the paper examines the difference between highly engaged and less engaged employees in their relationship to importance and fulfillment of the five EVP dimensions.

Data were drawn from information technology-business process management employees (n=520) in India through a questionnaire survey. The IPA matrix was used to plot the importance and fulfillment scores. Independent samples t-test was used to assess the difference between high and low engagement scores.

The results indicate that several EVP attributes fall within the “Concentrate Here” quadrant that requires more focus. With respect to EVP dimensions, social value needs focus; economic value received “Low Priority”; and work value and employer reputation are identified as “Potential Overkill.” The findings also suggest that, organizations should engage employees across all dimensions, by both prioritizing and fulfilling their obligations promptly.

The study highlights the need for HR practitioners and academicians to draw insights from attribute research in marketing to effectively devise the employer branding strategy of individual organizations.

This paper is the first of its kind to apply IPA to EVP attributes, which contributes to the growing literature on employer branding.

The aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.

Annual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.

Results of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.

There may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.

The paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.

This paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.

The purpose of the study is to understand whether psychological contract (PC) expectations manifest differently for diversity clusters of gender, physical disability and region in relation to job performance and intention to stay.

It is a survey-based study. Data from 1,065 information technology and business process management professionals were analysed using partial least square based structural equation model (PLS-SEM) and multigroup analysis.

The met PC expectations related to career growth and development impact performance and are influenced by regional diversity. The met PC expectations related to job and work environment impact the intention to stay. Gender and physical disability do not influence any relationship.

The findings related to physical disability are based on a small sample of 60 employees. This could be reflective of their actual participation in the workplace.

No significant differences were found between men and women employees with/without physically disability. However, regional diversity creates significant differences. Diversity policies should reckon these similarities/differences while viewing requirements of job performance and determinants of intention to stay.

One needs to be careful while assuming diversity as a heterogeneous phenomenon. The reality could reflect both differences and similarities. Diverse employee groups having a common set of expectations is a socially positive evolution connoting better social integration.

This article is one of the first to research the influence of gender, physical disability and regional diversity on PC and its outcomes in India. Regional diversity has not been studied based on this framework and this adds to the body of knowledge.

The purpose of this paper is to identify talent segments within the millennial generation based on performance and intention to stay and differentiate them in terms of their expectations. Based on results, the paper proposes a customized approach to talent management.

The paper uses a mixed methodology, including 11 exploratory focus group discussions, followed by a survey involving 1,065 employees from nine information technology and business process management companies.

The paper creates a framework of talent segments (performing loyals, performing movers, developing loyals and developing movers) that have different values for the organization. Significant differences are observed in their PC expectations from the manager, PC expectations related to career growth and development and PC expectations related to job and work environment.

Researchers faced constraints in obtaining actual performance data from the organizations; therefore, a self-perception report of performance was used.

Organizations’ talent-management strategy must acknowledge and understand the differences in PC expectations of talent segments and offer tailored TM programs for maximum impact.

The paper challenges the old assumption of a uniform psychological contract (PC) that has guided the talent management strategy. Every talent segment has value and must be viewed on continuum rather than a binary construct of “Talent or no talent.”

This is one of the few studies which explores how the perception of PC expectations differs between talent segments. It contributes to literature on talent segments, PC and the millennial generation.

The purpose of this paper is to investigate both long-run and short-run dynamics among the software and services export, investment in information technology (IT) and GDP in India and to investigate the direction of the relationship among the given three macro-economic variables.

The time series data have been taken to investigate the long-run relationship exists among the variables. Annual data were collected from the NASSCOM Annual Reports, Planning Commission of India and Reserve Bank of India during the period 1980–2016. Cointegration and vector error correction model have been used for analyzing the causal relationship among investment in IT, software exports and GDP in India.

Cointegration results confirm that software and services export, investment in IT and GDP are cointegrated, implying that there exists the long-run equilibrium relationship among the given three macro-economic variables. Similarly, vector error correction mechanism Granger causality results hold that there is uni-directional long-run causality running from software and services export and investment in IT to GDP, implying that software and services export is an important determinant of economic growth in India.

The limitations of the paper are generalization of the results and proxy variable for IT investments.

The paper has implications for the expansion of market concentration, diversification of software and service exports, and investments in R&D for increasing competitiveness of the industry in the global market.

This paper focuses on originality in the analysis of the relationship among the given variables software exports, investment in the IT sector and GDP in India. All the work has been done in original by the authors and the work used have been acknowledged properly.

This paper aims to shed some light on the role of video games within the media industry and IT sector, on its contribution to the production and distribution of digital content in emerging economies. It offers a case study on the role of mobile devices as a factor of transformation and shows how under changing socio–economic conditions, the transformations enabled the creation of digital ecosystems and innovative business models.

The paper is based on desk research, a review of literature and trade press and comments from experts and industry players.

The paper argues that as the internet is going mobile, driven by data – mostly video – the new mobile platforms are becoming the key for the distribution of content and mobile games. Whether it is the history of browser games in China, mobile games in India or PC games in Russia, each national gaming industry has required a unique strategy for making money, building on some prominent cultural factors and adapting to the local economic conditions. The paper reveals that video games are now clearly a vital part of digital content production in these countries, while stressing upon the role of public policies.

The paper relies mostly on industry and consultancy data, as in such a fast-changing environment official data even when accessible are in most cases too old to remain relevant to identify the trends and the fast changing stakes. This calls for some caution about the data. Therefore, the data used should be treated as just signals of potential trends, sufficient to provide an appropriate overview of the evolution of the global mobile ecosystem.

This paper shows that the video games industry can serve as a pivot for the ICT industry. Besides, this prompts upstream and downstream industries of the entire digital entertainment market to thrive.

The paper shows that companies from emerging markets companies have been betting on a combination of factors: the development of the economies, the growth of the mobile market, emerging middle-classes and young customers. It provides a growth model that appears to be close to a “regular” industrial growth model.

Although there is a growing academic literature on the video games industry, few research have been devoted to specific issues of emerging economies and to the role of video games within the media industry and IT sector.

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.

A well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.

The findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.

The novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.

The study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.