The emergence of multi-sided platform MNEs: Internalization theory and networks

The rise of the digital economy provides firms across the globe with unique business opportunities. Companies such as Facebook, Alibaba, and Uber are competing in a new multi-sided platform world; the primary focus of these firms, from their inception, is to provide digital infrastructure, information and technology—intangible assets that enable direct interaction or value creation across platforms by linking different user group and complementors, often at the international level. Building on data drawn from multinational multisided Platform corporations (MMPCs) operating in China, we combine insights from internalization theory and network effects in understanding the value creation of such firms. We explore the boundaries of these new “breed” of MNEs in exploiting firm-specific advantages (FSAs) and in creating new knowledge between headquarters and subsidiaries. The findings suggest that internalization theory needs to shift its focus from the ‘boundaries of the firm’ to the ‘boundaries of the local network’. By integrating their internal and external networks of knowledge in adapting their business models in host markets, this new breed of MNEs is more likely than the traditional one to gain a sustainable competitive advantage in the new information age.     

Gender discrimination in education,health, and labour market: a voice for equality

The objective of the study is to examine the impact of gender discrimination in education, health, and labour market on economic growth in a panel of 20 high-income OECD countries for the period of 1980–2015. In addition, the study proposed an index of pro-equality growth, which is flared with education, health, and labour market initiatives to promote economic growth. The results show that gender parity index for educational attainment significantly promotes economic growth while health and labour market required substantial policy reforms to reduce health and labour market inequalities to sustain long-term economic growth. The results classified three countries as highly equitable growth, one country for equitable growth, two countries are moderate growth, four countries are less equitable growth while remaining 10 countries fall in the category of inequitable growth, where greater inequality promotes economic growth on the cost of education, health, and labour market inequalities.     

Public re-release of going-concern opinions and market reaction

This paper examines the market reaction to the public announcement of going-concern (GC) opinions through the news media. In the early 2000s, NASDAQ and AMEX required firms listed on their exchanges to publicly announce previously disclosed information, such as the issuance of a GC opinion, through a press release or the news media. We examine the stock market reaction to the re-release of GC opinions. We find significant abnormal stock return volatility and trading volume at the re-release of this information. Further, based on an analysis of intraday transactions, we find higher abnormal trading activity in small trades around the re-release of the GC opinion, but largely no changes in large trades during the same period. In this respect, the investors that initiate the small trades act as if they are surprised by the information contained in the press release of GC opinions. Such an action, in turn, can be viewed as evidence of a delayed response to the information in GC opinions by a section of investors.     

Developing a Website Service Quality Scale: A Confirmatory Factor Analytic Approach

The surge in online consumers and their preference to buy over the Internet is nudging marketers to embrace e-commerce, but mere online presence without distinct user experience may not help attract and retain customers. Research suggests that website service quality is a determining factor in Internet buyer behavior. Several measurement tools have been used in the context of developed economies to measure e-service quality. The very few empirical researches in emerging economies, including India, motivated the researchers in the present study to refine the WEBQUAL 4.0 scale developed by Barnes and Vidgen (2002 Barnes, S. J., and R. T. Vidgen. 2002. An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research 3 (3):114–27. [Google Scholar]) to measure the service quality at shopping websites. The present study employs tools like SPSS 20.0 and AMOSS 20.0 to analyze the data through exploratory factor analysis and confirmatory factor analysis. Study results suggest a 14-item WEBQUAL four factor (Ease of Use, Information Quality, Reliability, and Empathy) scale that is appropriate for Indian settings.     

Changes in the Public Accounts Committee of a Less Developed Democratic Country: A Field Study

This paper complements prior studies on the public accounts committees (PACs) by considering the notions of ‘agency’ and ‘structure’ of institutional theory in tandem in understanding the changes in structures and activities of the PAC of a less‐developed democratic country – Bangladesh. While prior studies examined ‘external’ institutional pressures on the development and operation of the PAC in various settings, the role of internal and external institutional agents in this context has not been their primary focus. Our empirical evidence from a qualitative field study indicates that over the past two decades, Bangladesh's PAC underwent significant changes to its internal governance structures and administrative processes. While these changes were indirectly driven by pressures from international donor agencies, PAC members and the national audit office played a key role as institutional agents in initiating and institutionalising the changes in PAC governance and operation.     

Overall survival,costs, and healthcare resource use by line of therapy in Medicare patients with newly diagnosed metastatic urothelial carcinoma

Aims: Medicare patients with metastatic or surgically unresectable urothelial carcinoma (mUC) often receive platinum-based chemotherapy as first line of therapy (LOT), but invariably progress, requiring additional LOTs and healthcare resource use (HCRU). To better understand the evolving mUC treatment landscape, the economic burden of chemotherapy-based mUC treatments among US Medicare patients was estimated.

Methods: Newly diagnosed Medicare patients with mUC were identified from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Patients were followed from diagnosis to death, disenrollment, or end of study to characterize LOTs (first [LOT1], second [LOT2], and third or greater [LOT3+]). Kaplan-Meier methods were used to estimate overall survival (OS) by LOT. HCRU and mean costs were reported over the follow-up period, LOT duration, and maximum LOT received.

Results: Among 1,873 eligible patients with mUC (median age?=?77?years; median follow-up?=?7.5?months), 1,035 (55%) received no chemotherapy. Among chemotherapy-treated patients, 61% had LOT1 only, 25% had LOT1 and LOT2 only, and 14% had LOT3+. Median OS was 8.1?months, range was 4.3 (untreated) to 29.8 (LOT3+) months. HCRU frequency increased with additional LOTs. Mean cumulative per-patient cost was $82,912 for all patients, increasing with additional LOTs (untreated?=?$57,207; LOT1?=?$99,213; LOT2?=?$125,190; LOT3+?=?$163,884). Mean per patient per month cost was $18,827 for all patients, decreasing with increasing number of LOTs received (untreated?=?$27,211; LOT1?=?$9,601; LOT2?=?$7,325; LOT3+?=?$6,017).

Limitations: Potential for treatment misclassification when using the algorithm defining LOTs and non-generalizability of results to younger patients.

Conclusions: Over 50% of Medicare patients with mUC received no chemotherapy. Among chemotherapy-treated patients, most received only one LOT. Additional LOTs led to higher mean costs and HCRU, but as patients were followed longer, monthly costs decreased. As treatments evolve to include immuno-oncology agents, these findings provide a clinically relevant economic benchmark for mUC treatment across different traditional LOTs.     

Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province,Pakistan

We employ a non‐parametric approach, data envelopment analysis, to estimate the technical and irrigation efficiency of rice farms in the Punjab Province of Pakistan. We use a cross‐sectional dataset of 80 rice growers, including 45 tube‐well owners and 35 water buyers. Mean technical efficiency scores show that tube‐well owners and water buyers are operating at fairly high efficiency levels, indicating that access to technology is not a major constraint. However, irrigation inefficiency is pronounced, with water buyers being more inefficient than tube‐well owners. A bootstrap truncated regression is used to investigate the determinants of technical and irrigation efficiency. We suggest that groundwater management policies should be designed to address efficiency enhancing factors such as knowledge of crop water consumption requirement, better credit opportunities, outreach extension services and training programs.     

Exploitative and exploratory innovations in emerging economies: The role of realized absorptive capacity and learning intent

This paper investigates the mediating effect of learning intent in transforming local suppliers’ potential absorptive capacity into realized absorptive capacity and its impact on exploitative and exploratory innovation. Using survey data from 155 auto parts manufacturers in Pakistan, we find that local firms’ realized absorptive capacity enables them to develop both exploitative and exploratory innovations. The findings further suggest that local suppliers’ learning intent mediates the relationship between potential and realized absorptive capacity which in turn lead to both types of innovation. In the context of the emerging economy of Pakistan, local suppliers’ absorptive capacity is found to be critically important in spurring exploitative and exploratory innovation, but learning intent enables realized absorptive capacity and thus in conjunction with realized absorptive capacity supports innovation. Consequently, there would be a strong case for policy intervention to assist emerging economy firms in building their absorptive capacity and strengthening their learning intent as a route for promoting innovation and improving their value added position in the global value chains of multinational enterprises.     

Analysing customers' reviews and ratings for online food deliveries: A text mining approach

The purpose of this study was to explore the relationship between online reviews and ratings through text mining and empirical techniques. An Indian food delivery portal ( Zomato.com ) was used, where 50 restaurants on Presence Across Nation (PAN) basis were selected through stratified random sampling. A total of 2530 reviews were collected, scrutinized, and analysed. Using the NVivo software for qualitative analysis, seven themes were identified from collected reviews, out of which, the ‘delivery’ theme was explored further for identifying sub-themes. Linear regression modelling was used to identify the variables affecting delivery ratings and sentiment analysis was also performed on the identified sub-themes. Regression results revealed that hygiene and pricing (delivery subthemes) demonstrated lower delivery ratings. These variables can be established as indicators for restaurants and related online food delivery services to build their business model around them. Similarly, negative sentiments were observed in pricing and hygiene sub-themes. Restaurants and online food services can enhance hygiene levels of their food delivery process in order to receive higher delivery ratings. Similarly, pricing of food items can be modified such that customers are not deterred from ordering the items—food and ordering service do not become cost-prohibitive. This study devised a standardized methodology for analysing vast amounts of online user-generated content (UGC). Findings from this study can be extrapolated to other sectors and service industries such as, tourism, cleaning, transportation, hospitals and engineering especially during the pandemic.