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This study aims to identify the effects of innovation types on the service firm’s financial and nonfinancial performance as well as mediation and moderation effects of innovation and the firms’ performance linkages in the Indian service sector.

This study uses combined data from the World Bank innovation survey 2014 and World Bank enterprise survey (WBES) 2014 for India. It classified innovations into technological innovation (service and process) and nontechnological innovation (organizational and marketing) and used financial and nonfinancial performance measures. This study applies variance-based partial least square structural equation modeling (PLS-SEM) using Smart PLS 3 software.

The study results suggest that service innovation has the highest significant effect on a firm’s financial and nonfinancial performance, followed by process innovation. Marketing and organizational innovation have a long route to contribute to a firm’s financial performance via innovative and nonfinancial performance. The study results do not find any synergy effects of innovation types. Multi-group analysis (MGA) results suggest several significant distinctions in the path relationships between small and medium-sizes and large firms.

This study provides several crucial policy suggestions for the managers and policymakers concerning the effects of service and process innovation on service firms’ performance in India and the mediating factors of these relationships. The study suggests that managers should pay the highest importance to service innovation to swiftly and markedly surge service firms’ financial and nonfinancial performances. In contrast, a service firm’s innovative performance mainly results from its organizational and marketing innovations.

This study examines the effects of both technological and non-technological innovations on the overall performance of Indian manufacturing firms, and identifies the mediation and synergy effects in the relationship between innovation and performance.

The study applies the partial least squares structural equation modelling (PLS-SEM) technique using Smart PLS3 on a combined data set from the World Bank Enterprise Survey and the follow-up Innovation Survey for India in 2014. Different newly developed statistical tests [PLS predict, importance performance map analysis (IPMA), multi-group analysis (MGA) and confirmatory tetrad analysis PLS (CTA-PLS)] have been used to check the robustness of the empirical results.

The results of the study suggest that technological innovations (product and process innovation) significantly affect a firm's overall performance, and that innovation strategy significantly mediates the effects, whereas the effects of non-technological innovations (marketing and organisational innovation) on a firm's performance are fully mediated by innovative performance. IPMA results suggest that technological innovations and their respective strategies are very important in improving a firm's performance, whereas non-technological innovations have great importance for increasing the innovative performance of the firms. The MGA results suggest that there are several distinctions in the path relationship and mediation effect among a firm's segment based on technology intensity and firm size. The study results do not find that innovation types have significant synergy effects on a firm's performance.

The study results suggest that managers should focus on technological innovations, along with their respective strategies to improve the overall performance of a firm, whereas non-technological innovations should be given priority for increasing the firm's innovative performance. Moreover, while making policy regarding innovation the people concerned should bear in mind which segment of the firms they are dealing with, as the effects differ across a firm's technology-intensity and size.

This study examines the innovation-efficiency linkage for Indian and Chinese manufacturing and service firms.

We applied the stochastic production and cost frontier approach to determine the output and cost efficiency of the firms surveyed in World Bank enterprise surveys. We then used both unconditional and conditional propensity score matching (PSM) estimation techniques to examine the effects of innovation as well as R&D on output and cost efficiency of the firms surveyed.

The study results suggest that innovation-efficiency linkage varies between countries and sectors. Innovations significantly raise output and cost efficiency of Indian manufacturing firms, whereas innovations in Chinese manufacturing firms are cost-oriented and negatively affect output efficiency. For the service firms of both countries, innovations are significantly positively linked with output and cost efficiency. The study also suggests that R&D acts as a crucial moderator for innovation-efficiency linkage for Chinese manufacturing firms but not for Indian firms, and the interaction effects of innovations are not substantially higher in magnitude than their individual effects. Finally, conditional PSM results suggest knowledge spillover for effective innovations of Indian firms, whereas R&D is a must for substantial innovation-efficiency linkage in Chinese firms.

This study offers quite a few crucial policy decisions concerning the relationship between innovation and efficiency as well as the moderation effect of R&D on innovation-efficiency linkage. It concludes that the effects of innovation on firms' efficiency and the role of R&D as a moderator of the innovation-efficiency relationship differ between India and China across the manufacturing and service sectors.

This study examines the survival probability of the firms during the COVID-19 pandemic and identifies the effects of pandemic-era business strategies on firm survival across sectors and sizes.

This study combines World Bank Enterprise Survey data with three consecutive follow-up COVID-19 survey data. The COVID-19 surveys are the follow-up surveys of WBES, and they are done at different points of time during the pandemic. Both WBES and COVID-19 surveys follow the same sampling methods, and the data are merged based on the unique id number of the firms. The data covers 12,551 firms from 21 countries in different regions such as Africa, Latin America, Central Asia and the Middle East. The study applies Kaplan–Meier estimate to analyze the survival probability of the firms across sectors and sizes. The study then uses Cox non-parametric regression model to identify the effect of business strategies on the survival of the firms during the pandemic. The robustness of the Cox model is checked using the multilevel parametric regression model.

The study's findings suggest that a firm's survival probability decreases during the pandemic era. Manufacturing firms have a higher survival probability than service firms, whereas SMEs have a higher survival probability than large firms. During the pandemic period, business strategies significantly boost the probability of firm survival, and their impacts differ among firm sectors and sizes. Several firm-specific factors affect firm survival in different magnitudes and signs. Except in a few cases, the findings also indicate that one strategy positively moderates the influence of another strategy on firm survival during a pandemic.

COVID-19 pandemic has drastically affected the business across the globe. Firms adopted new business processes and strategies to face the challenges created by the pandemic. The critical research question is whether these pandemic-era business strategies ensure firms' survival. This study attempts to identify the effects of these business strategies on firms' survival, focusing on a comprehensive firm-level data set that includes firms from different sectors and sizes of countries from various regions.

This paper aims to assess the impact of the training program on fish traders in building awareness about formalin abuse in food items.

Primary data was collected from the fish traders in Bangladesh by using simple random sampling technique. Binary logistic regression was used to assess the opinions of the fish traders about training in building awareness of formalin abuse.

This study showed that the training of the fish traders played a positive role in improving their awareness level of formalin abuse.

Enhancement of both training and educational support could be an effective strategy in preventing formalin abuse in food.

This study helps in assessing the opinions of the fish traders about the effectiveness of the training programs in building awareness of formalin abuse.

The present study seeks to paint the current state of voluntary disclosure of internet financial reporting (IFR) in Bangladesh as an example of an emerging economy and to investigate empirically some company characteristics as determinants of such practice.

Using a sample of 83 listed companies in Bangladesh in the year 2009 and the disclosure index of Deller et al., Marston, Xiao et al. and Marston and Polei and comments from the users and investors of Bangladesh, the study employs statistical analysis to investigate the association between a number of company characteristics and the extent of voluntary disclosure of IFR.

The findings revealed that only 29.12 percent (83) companies had web sites out of the 285 listed companies and only 33.34 percent (28) companies' provided financial information. Out of seven variables, only big audit firms and non‐family ownership variables were significantly associated with the levels of voluntary disclosure. Another important result revealed that despite the mandatory requirements of having audit committee in Bangladesh, the companies without the audit committee were disclosing voluntary information more and it raised the question on the lack of regulatory enforcement in Bangladesh.

The scope of this study is limited to a single country; it would be interesting to replicate this study to a group of emerging countries which have many similarities to the Bangladesh environment.

To the best of the authors' knowledge, no studies have been conducted on IFR in a South Asian emerging country, in particular Bangladesh. The study also is the first of its kind to examine the whole population of a period in any country which enhances contribution to IFR literature. Unlike the prior studies conducted in emerging countries, the study contributes not only to the present state of IFR by the listed companies in Bangladesh but also the connectivity problem between the dream and reality of the digital Bangladesh concept. The study also finds that the companies' IFR practices are not influenced by “Digital Bangladesh” concept.

The small-scale artisanal fishers in coastal Bangladesh are comparatively more vulnerable to climate risks than any other communities in Bangladesh. Based on practicality, this paper aims to explain the local level climate change perception, its impact and adaptation strategies of the fisher in southeast coastal villages in Bangladesh.

To achieve the above objective, this study used structural, semi-structured interviews and focus group discussion in two coastal communities, namely, at Salimpur in the Sitakund coast and Sarikait Sandwip Island, Bangladesh. It reviews and applies secondary data sources to compare and contrast the findings presented in this study.

Results show that the fishers perceived an increase in temperature, frequency of tropical cyclones and an increase in sea level. They also perceived a decrease in monsoon rainfall. Such changes impact the decreasing amount of fish in the Bay of Bengal and the fishers’ livelihood options. Analysing seasonal calendar of fishing, findings suggest that fishers’ well-being is highly associated with the amount of fish yield, rather than climatic stress, certain non-climatic factors (such as the governmental rules, less profit, bank erosion and commercial fishing) also affected their livelihood. The major adaptation strategies undertaken include, but are not limited to, installation of tube well or rainwater harvesting plant for safe drinking water, raising plinth of the house to cope with inundation and use of solar panel/biogas for electricity.

Despite experiencing social stress and extreme climatic events and disasters, the majority of the fishing community expressed that they would not change their profession in future. The research suggests implementing risk reduction strategies in the coastal region of Bangladesh that supports the small-scale fishers to sustain their livelihood despite climate change consequences.