Search results

The purpose of this paper is to identify and analyze various critical success factors (CSFs) that can facilitate smartphone manufacturing in India. This paper further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them.

A framework for a smartphone manufacturing system has been developed, wherein the hierarchical inter-relationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs.

In the present research, 15 CSFs have been identified through literature review and expert opinions. The hierarchical framework developed using TISM has revealed the inter-dependencies among these CSFs. This research further categorizes CSFs into three clusters. The first cluster comprises of CSFs having high dependence power, the second cluster identifies CSFs having high driving power and the third cluster identifies CSFs which act as linkages between the driver CSFs and dependent CSFs.

This study has implications for both practitioners and academia. It provides a comprehensive list of CSFs that are relevant to develop a smartphone ecosystem in India. In addition, this study will help decision makers to strategically focus on the main drivers of the ecosystem that requires the immediate attention of decision makers. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework.

The proposed framework developed through qualitative modeling is an effort to understand relevant factors that can promote the smartphone manufacturing ecosystem. This study makes a significant contribution in the literature of smartphone manufacturing, which captures the perspective of different stakeholders.

Two key factors in the success of general-purpose computing platforms are the creation of a technical standards architecture and managing an ecosystem of third-party suppliers of complementary products. Here, we examine Symbian Ltd., a startup firm that developed a strong technical architecture and broad range of third-party complements with its Symbian OS for smartphones. Symbian was shipped in nearly 450 million mobile phones from 2000 to 2010, making it the most popular smartphone platform during that period. However, its technical and market control of the platform were limited by its customers, particularly Nokia. From 2007 onward, Symbian lost market share and developer loyalty to the new iPhone and Android platforms, leading to the extinction of the company and eventually its platform. Together, this suggests lessons for the evolution of a complex ecosystem, and the impact of asymmetric dependencies and divided leadership upon ecosystem success.

The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph.

This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence.

This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence.

This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals.

By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

Competence-based theory provides valuable insights in a business context characterized by global ecosystems, co-specialization, and asset orchestration. As the unit of analysis shifts from the individual enterprise to the ecosystem, pursuing proper competence building and competence leveraging activities considering both firm-specific and firm-addressable resources becomes a key issue in strategy development.

Based on the original concepts of the competence-based theory, this paper suggests that the competence space can be a useful framework when considering alternative ecosystem strategies. Competence-based theory, emphasizing the simultaneous pursuit of competence leveraging and competence building, provides an important complement to other dynamic perspectives on strategy, such as dynamic capabilities and ambidexterity. The paper also suggests considering the inclusion of aesthetic properties as an important part of competence-based theory.

Existing research lacks a comprehensive understanding of the individual factors that may transform an “ordinary” customer into an active participator in the service innovation process and/or the situational factors that determine a customer's participation in any stage of the service innovation process. The purpose of this paper is to fill these research gaps by developing and validating a conceptual framework on CPSIB in the Indian hotel industry by using smartphones to access SNS apps.

A cross-sectional survey design method was used in this study to collect representative samples with greater response rates. The target population included in this study were hotel guests of all of the star category hotels in New Delhi who had earlier experiences of staying in star category hotels. Structured questionnaire was formulated, which was later pre-tested to confirm its reliability and validity. Out of 400 questionnaires, 348 usable responses were obtained.

This research examines CPSIB in the Indian hotel industry using SNS smartphone apps. It confirms that user innovativeness and perceived trust in the service provider determine customers' participative service innovation behavior, which further results in positive adoption intention via SNS smartphone apps.

This research provides valuable insights into the hotel industry, specifically in the context of India. However, it has a few limitations that must be taken into account when generalizing its results.

First, investigating the key antecedents and consequences of CPSIB has important implications for marketing practitioners. Moreover, it was observed that hotel guests with higher innovativeness and trust in the service provider would show positive participative service innovation behavior toward innovating new services along with the hotel service providers, which may result in a positive adoption intention toward the newly developed services. Second, hoteliers should integrate hotel guests into hotel service innovation via the use of SNS smartphone apps.

This research conceptualizes that user innovativeness is a driving factor for CPSIB that may further generate a positive adoption intention toward newly developed services.

To the best of the authors’ knowledge, only a very few studies have tested the interrelationships between individual factors and customer participation behavior in the mobile technology-mediated service ecosystem simultaneously. Furthermore, research examining the individual and situational factors influencing CPSIB and adoption intention towards newly developed services using SNS smartphone apps is still in a nascent stage.

The purpose of this paper is to provide an interpretative framework for the high market capitalisation companies (unicorns) universe, especially with the deployment of the mobile internet. The paper attempts to account for this global trend and to describe its global setting (global data), and its various components.

This paper originates from a research meant to document the phenomenon of high market capitalisation companies (unicorns) through the investigation of a qualitative sample of companies. The paper is based on desk research, a review of literature, review of the technical journals and analysis of annual reports. Going beyond the observations gathered from the sample, the research found that the transformations of the mobile communications ecosystem could provide an adequate framework to understand and put in perspective this phenomenon.

The paper defined unicorns as information technology (IT)-based (software mostly but hardware as well) start-ups that bridge pent-up demand and supply through innovative services and products mostly rooted in the mobile internet wave and the opportunities it brings along. The paper shows that smartphones as games changers facilitate the entry of new players in the mobile markets coming either from the IT sector or from Asia, much to the detriment of the European Union (EU) industry grappling with legacy business models. These companies derived the most from a mobile-first approach and have an outstanding number of unicorns. The paper identifies a potential telecom policy failure especially in the EU: policies have been tilted towards the supply side, without enough consideration of demand. The paper suggests that the EU, after having lead the previous wave, may have missed the last one (mobile broadband) not only from a policy but also from an industry viewpoint.

More research should be done to better investigate what might have been the causes of this apparently missed mobile turn in Europe. The paper deals mostly with the cases of Asia and the USA. As the paper concentrates on the issue of unicorns and mobile technology, some other aspects of the mobile markets may not be taken into account.

The paper suggests reconsidering some policies in the field, to better take into account the role of consumers and to improve the link with other policies like innovation policies.

The paper attempts at giving a better understanding of the evolution of demand and its role in the making of some new services. The paper does not deal with other societal issues like privacy or data.

The main assumption about the role of the mobile internet can shed some light not only about related developments such as the app economy but also about the business and technological environment of an array of start-ups, some of them having reached impressive market capitalisation. The paper reveals how this mobile wave is reshuffling companies, sectors, and geographies. The paper provides one of the first analysis of the unicorn phenomenon.

This paper aims to provide a synthesis of the evolution of the global internet markets through an assessment of their economic strength. It is an attempt to describe the various segments of the internet value chain and the evolution of the markets. It aims at briefly summing up the very dynamics of the sector, of the various subsectors while looking at the business models and the market capitalization.

The paper is a descriptive paper, presenting market trends, based on desk research and trade press. It is not meant to provide any theoretical contribution but attempting to reconstruct the views from the industry as documented by trade literature. Hence, the paper relies mostly on industry and consultancy data. The paper builds on a database collected by the author over the past 30 years and the selection of the relevant data to document and identify the trends and offer a synthesis of the views of the industry.

The paper shows how over the past 30 years the internet has changed dramatically from both a quantitative (reaching more and more users worldwide and witnessing a dramatic growth of all markets) and qualitative (offering an array of innovative products and services enabled by the deployment of new networks) and the availability of new devices. The paper reveals how each technological wave ushered in a series of innovation and new services, boosted the foundation and the growth of pioneering companies.

Taking into account the lack of official data, the industry data used should be treated as just signals of potential trends, but sufficient to give an overview of the evolution of the global internet markets. Furthermore, detailed studies should complement this descriptive approach. The approach does have obvious methodological and theoretical limits, not providing a robust methodological framework just offering a reconstruction of the trends as documented by the trade publications. However, it concludes highlighting some of the tensions and contradictions.

The paper closes with a summary of the main transformations and considers some future developments. The paper draws some lessons from some failures and from the strategies of firms.

The paper hints at the way users developed “unique” behaviors using social media, taking advantage of the new opportunities to exchange with others. The paper hints at some regulatory issues and challenges.

The paper briefly sums up the very dynamics of the global internet market(s). It attempts to characterize some of the main features of their evolution and of the main segments. If offers a comprehensive overview of available data.

This paper addresses resource redeployment in ecosystems. Prior research examines the value of resource redeployment across product markets in multi-business firms. In contrast, resource redeployment across ecosystems is an important corporate strategy employed by both single- and multi-business ecosystem firms that has received little attention. To address this gap, we present a case study of resource redeployment by an entrepreneurial firm in the US residential solar industry. We propose that the value creation mechanisms (i.e., improving capabilities, bottleneck relief) are fundamentally different when resources are redeployed in ecosystems. We identify “consumption-side” interdependence of components and “production-side” resource relatedness as playing critical roles in both types of value creation and propose conditions under which resource redeployment is most valuable. Overall, we contribute insights into the literatures on resource redeployment and strategy in business ecosystems.

The Web 3.0 has been hugely enabled by smartphones and new generation mobile applications. With the growing adoption of smartphones, the use of mobile applications has grown exponentially and so has the development of mobile applications. This study is an attempt to understand the issues and challenges faced in the mobile applications domain using discussions made on Twitter based on mining of user generated content.

The study uses 89,908 unique tweets to understand the nature of the discussions. These tweets are analyzed using descriptive, content and network analysis. Further using transaction cost economics, the findings are reviewed to develop practice insights about the ecosystem.

Findings indicate that the discussions are mostly skewed toward a positive polarity and positive user experiences. The tweeters are predominantly application developers who are interacting more with marketers and less with individual users.

Most of these applications are for individual use (B2C) and not for enterprise usage. There are very few individual users who contribute to these discussions. The predominant users are application reviewers or bloggers of review websites who use the recently developed applications and discuss their thoughts on the same.

The results may be useful in varied domains which are planning to expand their reach to a larger audience using mobile applications and for marketers who primarily focus on promotional content.

The domain of mobile applications on social media is still restricted to promotions and digital marketing and may solely be used for the purpose of link building by application developers. As such, the discussions could provide inputs towards mobile phone manufacturers and ecosystem providers on what are the real issues these communities are facing while developing these applications.

The study uses mixed research methodology for mining experiences in the domain of mobile application developers using social media analytics and transaction cost economics. The discussion on the findings provides inputs for policy-making and possible intervention areas.

The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product adoption and reducing costs.

The research is based on a two-step approach. First, this research identifies four potential key success factors for organisations to integrate big data in accelerating their product innovation processes. The proposed factors are further examined and developed by conducting interviews with different organisation experts and academic researchers. Then a framework is developed based on the interview outputs. The framework sets out the key success factors involved in leveraging big data to reduce lead times and costs in product innovation processes.

The three determined key success factors are: accelerated innovation process; customer connection; and an ecosystem of innovation. The authors believe that the developed framework based on big data represents a paradigm shift. It can help firms to make new product development dramatically faster and less costly.

The proposed accelerated innovation processes demand a shift in traditional organisational culture and practices. It is, though, meaningful only for products and services with short life cycles. Moreover, the framework has not yet been widely tested.

This paper points to the vital role of big data in helping firms to accelerate product innovation processes. First of all, it allows organisations to launch new products to market as quickly as possible. Second, it helps organisations to determine the weaknesses of the product earlier in the development cycle. Third, it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they do not want. Last, but not least, it identifies and then prioritises customer needs for specific markets.

The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation process based on big data is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.