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Increasing globalisation of the healthcare sector suggests that there may be new competitive opportunities for emerging economies in this price‐sensitive sector. The purpose of this paper is to examine the extent to which emerging economies, and in particular the four major Asian competitors – Thailand, India, Malaysia and Singapore – can compete successfully in the medical tourism (MT) sector.

The authors evaluate this sector in terms of Porter's Diamond of National Competitiveness, as well as considering the challenges that competitors must address. The primary challenges relate to attracting consumers, proving assurances of quality for a credence good, increasing scale while maintaining quality, addressing ethical issues and moving beyond simple price‐based competition.

The authors conclude that the major Asian competitors in MT benefit from strong government support, rely heavily on overseas linkages and accreditation, and are competing in very similar ways. In the future, further differentiation is both likely and desirable.

The paper offers a theoretically based analysis of the future competitiveness of the rapidly evolving MT industry in four key Asian economies. This industry appears to relate well to the comparative advantage of emerging economies and offers future opportunities for upgrading and value adding.

As traditional manufacturing, previously vital to the UK economy, is increasingly outsourced to lower‐cost locations, policy makers seek leadership in emerging industries by encouraging innovative start‐up firms to pursue competitive opportunities. Emerging industries can either be those where a technology exists but the corresponding downstream value chain is unclear, or a new technology may subvert the existing value chain to satisfy existing customer needs. Hence, this area shows evidence of both technology‐push and market‐pull forces. The purpose of this paper is to focus on market‐pull and technology‐push orientations in manufacturing ventures, specifically examining how and why this orientation shifts during the firm's formative years.

A multiple case study approach of 25 UK start‐ups in emerging industries is used to examine this seldom explored area. The authors offer two models of dynamic business‐orientation in start‐ups and explain the common reasons for shifts in orientation and why these two orientations do not generally co‐exist during early firm development.

Separate evolution paths were found for strategic orientation in manufacturing start‐ups and separate reasons for them to shift in their early development. Technology‐push start‐ups often changed to a market‐pull orientation because of new partners, new market information or shift in management priorities. In contrast, many of the start‐ups beginning with a market‐pull orientation shifted to a technology‐push orientation because early market experiences necessitated a focus on improving processes in order to increase productivity or meet partner specifications, or meet a demand for complementary products.

While a significant body of work exists regarding manufacturing strategy in established firms, little work has been found that investigates how manufacturing strategy emerges in start‐up companies, particularly those in emerging industries.

The purpose of this paper is to explain how institutional elements and market conditions shape and then reshape the development of high‐tech industries in large emerging countries.

This paper develops a new framework to assess the impact of market and institutions on the high‐tech industry evolution in large emerging economies such as China. The qualitative approach based on historical data and interviews are provided to support the framework.

The framework and empirical research suggest that the institution systems and market dynamics will interact and influence the transformation process of industrial structure and the strategic choice of partnership arrangement between the domestic and foreign firms. The complementary assets which are considered as proxy to the resource accessibility in the market are also identified in the framework and it was verified in the case study.

This study has important implications for business strategy in emerging economies. The authors' observations indicate building close ties with domestic firms is an important asset to minimize the liability of foreignness for multinational firms. The paper has alluded to co‐evolutionary dynamics in the development of high‐tech industry in China by linking market initiative with institutional environment.

First, the study contributes to institutional‐based view of business strategy by explaining the choice of strategic partnerships between indigenous and foreign players arising from institutional and market considerations. Second, the study extends our understanding of technological catch up in newly‐industrializing countries by showing the interrelation between market elements and institutional arrangements and the corresponding changes to meet technological development needs.

The purpose of this paper is to examine the role of institutional entrepreneurship in opportunity formation and opportunity exploitation in developing emerging strategic new industries.

The paper reviews the focal literature focussing on institutional entrepreneurs’ role in opportunity formation with special attention to opportunities for institutional entrepreneurs in emerging economy. A multi-method approach consisting of historical case studies and event sequencing is applied to track the historical development of the solar energy industry in two case contexts and to investigate the role of institutional entrepreneurs in this process.

Investigation of two cases illustrates that different types of institutional entrepreneur, as represented by individual entrepreneurs and local government, in the context of massive institutional change – such as the Grand Western Development Program and the Thousand Talents Program in China – have varied effects on triggering and inducing institutional change and innovation to explore and exploit opportunities in emerging new industries.

The significance of local context for the nature and scope of institutional entrepreneurship in emerging economy is worthy of further research. The top-down process of institutional innovation dominated by local government might cause myopic outcome and distortion of market opportunities. Indigenous individual entrepreneurs with well-accumulated political capital and strong perceived responsibility could be the main actors to introduce incremental institutional change by combining bottom-up and top-down processes and promoting sustained new industry development through creating and seizing institutional opportunities and market opportunities.

This paper illustrates the close relationship between institutional environment and opportunity formation in emerging economies, contributes to the understanding of contextualizing institutional entrepreneurs in different regional contexts and discloses the problems involved in local government acting as an institutional entrepreneur.

The purpose of this paper is to provide an integrated framework that conceptualizes multifaceted antecedents pertaining to international expansion of Asian emerging multinational enterprise (MNEs) in relation to firm performance. The author argues that the accelerated process of Asian emerging MNEs internationalization appears to be a historically significant change in the way business is conducted.

The paper tests how internationalization expansion path, geographic scope, industry and firm characteristics affect Asian emerging MNEs performance in a sample of 115 Asian MNEs over the period 2003‐2006.

The results indicate that an emerging MNE's institutional heritage and its own internationalization strategy are likely to create specific preference for operating in differing geographic regions. On the other hand, the results also indicate that domestic growth rate, global market growth rate and R&D investment influence the degree of internationalization of Asian emerging MNEs.

Future studies may apply time series data and require additional empirical research using samples from other emerging markets such as Eastern European, Russia and South America. Addressing industry‐specific effects, and/or examine the influence of company characteristics would clearly add to this study.

Asian merging MNEs have certain advantages over large developed country's MNEs, including greater flexibility, efficiency, quality and advantage‐seeking behavior, which allow an emerging multinational enterprise MNE to develop capabilities to succeed in the international markets.

Cost behaviour literature is expanding its reach beyond developed economies; however, there is limited knowledge about its causes in emerging economies. This is an exploratory study of sticky costs behaviour determinants in Argentina, a country with periodic political and economic turbulence. The purpose of this paper is to test the effect of GDP, asset intensity, industry and cost type in an inflationary context.

Anderson et al. (2003) empirical regression (ABJ model) is replicated in Argentina with 667 observations from 96 firms between the years 2004 and 2012. It uses panel data and variables are defined as change rates between two periods. The sample excludes financial and insurance firms. It tests if sticky cost behaviour changes in periods of macroeconomic deceleration, or in firms belonging to industries with different asset intensity levels, or among different cost types.

The analysis shows that costs are sticky in Argentina, where a superb economic outlook is required to delay cutting resources or increasing costs. Cost behaviour is affected by social and cultural factors, such as labour inflexibility driven by powerful unions and not by protective employment laws, asset intensity (industry) and macroeconomic environment. Results suggest that costs are sticky for aggregate samples, but not for all subsamples.

Administrative costs are sticky when GDP grows; but when growth declines, managers or firms do not delay cost cutting actions. Some subsamples are extreme cases of stickiness while others are anti-sticky, casting some doubt on the usefulness of sticky costs empirical tests applied to country-wide samples. Careful selection of observations for sticky costs studies in emerging economies is critical.

Evidence from previous studies show that on average costs are remarkably sticky in Argentina; this study shows that cost reduction activities occur faster but are not persistent enough to change the aggregated long-term results of cost stickiness in the presence of moderate to high inflation. The study contributes to the literature by suggesting that observations used in sticky costs studies from emerging economies might be mainly from positive macroeconomic environments, might have skewed results due to extreme cases of stickiness or might be distorted by inflation.

This paper aims to examine from an information processing perspective how Delphi-based analyses can be used to overcome some challenges of dynamic business environments in emerging markets.

Delphi-based, future-oriented approach utilizing scenario planning methodology based on real-time expert-panel data.

Delphi-based analyses can indeed serve as an information processing aid to reduce uncertainty and equivocality in an emerging market.

A multistage analysis approach integrating the political, economic, socio-cultural and technological-stakeholder framework to support and better structure managers’ information processing in an emerging market.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

The study aimed to examine the robotic process automation (RPA) contextual (center of excellence and scalability) and the multidisciplinary (TOE) determinants of RPA adoption in service industries in the emerging economy.

Ten factors were identified through literature surveys and popular studies grounded in technology, organization and environment. SPSS AMOS SEM is used for scale measurement and hypotheses testing. A sample of 313 respondents was collected from middle to above middle management executives of service industries from India. The authors tested the hidden layers and non-linear relationships using artificial neural network (ANN) analysis.

The low complexity, center of excellence (CoE), and industry/business partner pressure were significant to the RPA adoption in service industries in emerging economies. Counterintuitively, the scalability showed a negative influence on the RPA adoption, and the process capability did not show influence. The results of SEM and ANN were consistent.

This research can unfold the RPA adoption scholarly debate to multiple services industries beyond the telecom sector in emerging economies.

RPA is a disruptive technology on the artificial intelligence (AI) continuum. It has the potential to change the ways of working and enable technology-driven transformation. However, despite having thriving service industries that can benefit from RPA, emerging economies lag in adoption compared to the developed nations.

The RPA and automation can bring transformation to human society. Large economies such as India and China have large-scale demand for services, and the waiting lines are a common issue struggled by society. RPA can address the scalability issues of several services.

This study is among the first to examine technology-organization-environment (TOE) with RPA, including RPA contextual variables such as the CoE and scalability. Literature reports TOE applications on several emerging technologies of Industry 4.0 such as cloud, blockchain, big data and 3 Dimensional Printing (3DP), but no or little reported studies around RPA in services industries in emerging markets.

Across country and regional borders firms are faced with the question whether to address individual markets on a stand-alone basis or cooperatively. In order to support such strategic decisions, this paper aims to develop a decision framework accounting for the most relevant market dynamics affecting joint venture (JV) decisions, particularly in the truck industry. Moreover, the authors apply the framework to an expert Delphi and scenario approach to back a Western original equipment manufacturers (OEM’s) JV decision in the truck industry in Russia. Based on country-specific projections structured along the globally applicable decision framework, the authors serve executives’ individual information demand in an institutionally unique emerging market environment.

Online real-time expert Delphi study; scenario analysis; and expert workshops were used in this study.

Among other insights, the results predict hard times for Russian OEMs as they will likely face strong foreign competition, leading to decreased sales volumes and market shares. Although some experts doubt the survival of several Russian truck manufacturers, the Delphi sheds light on possible strategic responses, including consolidation, cooperation or focusing on new markets. Based on the Delphi results and an additional expert workshop, we draw multiple scenarios addressing, particularly, uncertain aspects of the industry’s development and their likely impact on the key stakeholder groups.

Although there are some studies following a similar methodological approach as that in this study (von der Gracht and Darkow, 2010; Gnatzy and Moser, 2012), the authors break new ground in developing a JV-dedicated decision framework and applying it to a special emerging market industry setup.