Why Disability Mainstreaming is Good for Business: A New Narrative

Journal of Business Ethics - In developed economies, powerful legislative and regulatory frameworks, for people with disability (PWD) over the last five decades, have provided major motivation for...     

Assessment Regressivity and Property Taxation

The Journal of Real Estate Finance and Economics - Homestead exemptions typically produce a moderately progressive statutory incidence for the property tax in the US when progressivity is measured...     

Contagious diseases and tourism: a systematic review based on bibliometric and content analysis methods

Quality & Quantity - The present study examines the existing knowledge and intellectual structure on contagious diseases and tourism to map the development of the concept through collaborative...     

Institutional underperformance: Should managers listen to the sell-side before trading?

Review of Quantitative Finance and Accounting - This study examines the performance of institutional trades in the context of recent analyst recommendation changes. We report several findings....     

Cost-effectiveness of second-line atezolizumab in Canada for advanced non-small cell lung cancer (NSCLC)

Aim: To assess the cost-effectiveness in Canada of atezolizumab compared with docetaxel or nivolumab for the treatment of advanced NSCLC after first-line platinum-doublet chemotherapy.

Materials and methods: A three-state partitioned-survival model was developed. Clinical inputs were obtained from the phase III OAK trial comparing atezolizumab with docetaxel in patients with advanced NSCLC who progressed after first-line platinum-doublet chemotherapy. Overall survival (OS) and progression-free survival (PFS) were extrapolated beyond the trial period using parametric models. A cure model assuming a 1% cure fraction was fitted to the OS data for atezolizumab. Outcomes for nivolumab were informed by a network meta-analysis (NMA) vs atezolizumab. Resource use and costs were informed by clinical expert opinion and published Canadian sources. Utility values were obtained from the OAK trial. The perspective of the analysis was that of the Canadian publicly-funded healthcare system. The base case time horizon was 10?years, and the discount rate was 1.5% annually for both costs and effects. Scenario analyses were performed to test the robustness of the results and all analyses were performed probabilistically.

Results: Atezolizumab demonstrated a quality-adjusted life-year (QALY) gain of 0.60 compared with docetaxel at an incremental cost of $85,073, resulting in an incremental cost-effectiveness ratio (ICER) of $142,074/QALY. Atezolizumab dominated nivolumab (regardless of dosing regimen), based on modest differences in both QALYs and costs. Docetaxel was most likely to be cost effective at willingness-to-pay (WTP) thresholds below $125,000/QALY gained, while atezolizumab was most likely to be cost effective beyond this WTP threshold. In most scenario analyses, the results remained robust to changes in parameters. A reduced time horizon and alternative approaches to the NMA had the greatest impact on cost-effectiveness results.

Conclusion: Atezolizumab represents a cost-effective therapeutic option in Canada for the treatment of patients with advanced NSCLC who progress after first-line platinum doublet chemotherapy.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Motivators and barriers to sustainable food consumption: Qualitative inquiry about organic food consumers in a developing nation

The present research attempts to qualitatively explore the motivators and barriers of organic food consumption in the Indian context. The data were collected using semistructured in‐depth interviews and analyzed using grounded theory. The theoretical sampling technique was used to interview 34 consumers who have purchased organic food in the past. The findings reported health consciousness, environmental consciousness, social identity, consumer ethnocentrism, and concern for farmers as the factors that motivate organic food purchase among consumers. The factors such as high prices of organic food, unavailability, trust issues, and limited marketing communications from the firms were identified as major barriers to organic food purchase and consumption. The study is one of the initial attempts to qualitatively explore the consumers' motivation for organic food consumption in the Indian context. The findings will help policymakers to devise suitable strategies so that they can effectively target the organic food choices by understanding the motivators/barriers, and promote the sustainable lifestyle in the society, as food consumption plays a crucial role in achieving environmental sustainability.     

The rise of smart consumers: role of smart servicescape and smart consumer experience co-creation

ABSTRACT

Rapid technological advancements have led to the emergence of smart services and smart consumers. This study focuses on smart consumers who voluntarily engage in value creation activities, in order to conceptualise smart experience co-creation (SEC) and the smart servicescape. Drawing on the Stimulus-Organism-Response (SOR) framework, a model is proposed and tested around the impacts of smart servicescape dimensions (aesthetics, superior functionality, social presence, perceived interactivity and perceived personalisation) on smart consumer experience co-creation. SEC is conceptualised as a second-order construct consisting of cognitive, hedonic, social/personal, and pragmatic/economic first-order dimensions. Results show that the technological environmental cues of the smart servicescape (S) collectively influence smart experience co-creation (O), and this co-created experience eventually influences consumers’ service brand equity and word-of-mouth (WOM) intentions (R). A major novelty of this study lies in uncovering the relationship between experience co-creation and service brand equity. Findings have theoretical and managerial implications for smart services.     

Access to Finance,Financial Development and Firm Ability to Export: Experience from Asia–Pacific Countries

With particular reference to Asia–Pacific countries, the present study examines how access to finance and financial development affects firms’ ability to enter export markets. Using firm‐level data from the World Bank Enterprises Survey, we found that access to finance plays a significant role in improving firms’ ability to export. In addition, development of the financial sector fosters export market entry. Among the financial development indicators, reach of the banking sector variable is most prominent. The present study suggests that improvements in access to finance and financial development (increases in the reach of the banking sector) enable firms operating away from capital or major cities to enter export markets easily. The present study supports policy intervention to strengthen access to the financial sector, which would encourage firms to export, and to facilitate export market entry for remotely located firms.