Search results

The authors’ research identified seven best practices of leading companies with a particularly aggressive “All-in-on-AI” approach to Artificial Intelligence technology. 10;

The article examines how successful companies are reskilling and upskilling their employees to help develop, interpret and improve AI systems.

To date, AI technologies are most commonly applied in making business processes more efficient, improving decisions and enhancing existing products and services, but “All-in-on-AI” companies eventually develop use cases across a wide variety of functions and processes, decisions and products or services.

While many have predicted that AI would replace humans, AI-powered companies see the primary goal as discovering how to get the best out of both by redesigning jobs, reskilling workers and becoming more efficient and effective in the process.

Companies seeking to get significant returns on their investment in AI should take note of the practices of leading firms.

This is a thought-leadership interview with digital-era experts Thomas Davenport and Nitin Mittal on the strategic desirability and implications for legacy companies on being fully committed to becoming AI-driven businesses.

An interview with thought-leaders in the area of digital strategy.

The interview explains what it means to be an AI-driven company and how to manage the kind of transformation that legacy will need to go through to become AI-fueled leaders in their sector.

The main value is the direct dialog with digital-era experts on their latest research insights.

Corporate leadership and environmental, social and governance (ESG) performance are closely intertwined, as effective corporate leadership can facilitate the achievement of strong ESG performance. Thus, the purpose of the study is to investigate the impact of corporate board leadership on the ESG performance of listed firms.

The sample has been taken from the listed firms of the Nifty 500 index spanning the period of 10 years from 2012 to 2022. Dynamic panel data estimations are applied through a fixed effect model.

The findings of this study revealed that board size, board independence and board qualification have a significant positive influence on ESG performance. It is evident that good corporate governance practices can positively influence ESG performance by fostering accountability, transparency and ethical behavior, as well as better integrating ESG considerations into their decision-making processes and ensuring that ESG issues are prioritized at the highest levels of management. Further findings also revealed that chief executive officer (CEO) duality has a significant negative relationship with ESG performance, which goes against the belief of stakeholder theory.

It has practical implications for policymakers, as they can enact new regulations pertaining to the CEO’s position in the organizations to make corporate governance responsible for improved sustainability and ESG performance.

There are very few studies analyzing the impact of corporate board structure on ESG performance related to emerging markets. Thus, this study contributes to that literature by using the methodology GMM panel data for the first time as per our knowledge

This study aims to examine the impact of consumer risk appetite, biases (specifically negative recency bias), and the importance of reviews in enhancing information quality. By analyzing these variables, the authors gain insights into their role in enriching the overall information spectrum available to consumers. The findings contribute to a better understanding of how risk appetite, biases and consumer reviews shape the quality of information.

The questionnaire assessed the relationship between dependent and independent variables by asking participants to rate their experiences in relevant scenarios. Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

The efficiency of reviews and ratings is greatly influenced by consumer risk appetite. Businesses should focus on clients who are willing to take risks and balance positive and negative feedback. It is essential to comprehend how customers understand reviews. Credibility is increased by taking biases into account and encouraging unbiased criticism. Promoting thorough reviews strengthens influence. Monitoring and making use of these elements improve online reputation and commercial success.

The research has limitations due to the simplicity of the attributes taken into account and the requirement for a larger sample size. Overcoming barriers to promote consistent client feedback is essential, and tailored emails can help with assessment generation. Increased customer participation in writing evaluations can be achieved by removing obstacles and highlighting the advantages of participation.

Businesses and buyers rely on this “organically” generated content as the basis of their promotional strategy and buying decisions. Most of the research is related to consumer reviews, their behavior and the importance of social validation. However, some critical aspects related to this need further investigation.

This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these resources more effectively and perform better.

Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

Theories encompassing social support and related approaches to “word of mouth” online, electronic purchasing and virtual communities mediated by technological platforms are the foundational frameworks for this research piece. It then produces a statistical model that enables users to predict how social commerce (s-commerce) building blocks, including forums, communities, ratings and reviews and recommendations, assist businesses in introducing innovative strategies to win in the digital markets. The results necessarily focus on trust, an essential component of e-commerce. Reciprocally, the study reverses engineer’s trust through the constructs of this moment mentioned.

The present study describes the scope of empirical testing and validation of this framework and assists practitioners in further strengthening s-commerce strategy, an emerging and essential platform in the e-commerce industry.

Research highlights the dearth of current analysis in such conceptual domains while generating novel research insights aimed at e-commerce and digital business. From the viewpoint of potential and recurring customers who interact with online communities and product offerings, the study captures the essence of human interactions, often known as trade relationships, online.

The purpose of this study is to measure the impact of perceived benefits offered by loyalty programmes on store patronage behaviour and repeat purchase behaviour of customers. Another purpose of this study is to assess the impact of mediating and influencing factors on patronage behaviour and customer loyalty.

The convenience sampling method was adopted for the sample selection. Structured questionnaire instruments were distributed to subscribers who are enrolled or subscribed to any loyalty programme and asked them to mark their opinions about subscriptions to a loyalty programme and the benefits or perceived values that customers get from the subscribed loyalty program. To determine respondent responses, closed-end questions and Likert scales were used. A SmartPLS statistical programme was used to analyse the coefficient and p-value of the perceived value of the loyalty programme and its relation with patronage behaviour.

The study finds a significant impact of various loyalty programme determinants on store patronage behaviour, supported by hypothesis testing. Researchers have used variable commitment to the test with satisfaction and trust and found it supportive. Another hypothesis tested for the impact of satisfaction on trust shows a significant relationship. They found a significant relationship between the perceived benefits of a loyalty programme and satisfaction with the store and trust. Another hypothesis tested for the impact of satisfaction on trust shows a similar relationship. The impact of commitment on loyalty behaviour (store patronage) was analysed and found to be significant.

To the best of the authors’ knowledge, to date, this methodology has not been used to measure the influence of loyalty programme values on patronage behaviour in the present context. Based on the understanding that the measurement of the impact of perceived values of loyalty programmes on repeat purchase behaviour could be very useful in providing guidance for decision-making in consumer retention strategy, this paper contributes to the literature on the evaluation of store patronage behaviour with its influencing variables.