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Since the release of ChatGPT by OpenAI in November 2022 – with its ability to create compelling, relevant content, new large language model (LLM) technology – business leaders, especially CEOs, are being pressured to accelerate new generative AI investments. IBM IBV surveyed executives to assess their progress and concerns and their adoption strategies.

Adoption of generative AI is still in its very early stages. Most organizations are only beginning to figure out how and where to make use of it. In fact, as few as 6 percent of executives in new surveying conducted by the IBM Institute for Business Value say they are operating generative AI in their enterprise today.

In contrast to many peoples’ expectations about AI, automating tasks is not the top priority for executives looking to tap generative AI to grow business value. Looking at benefits by function, research and innovation is the primary area where organizations see opportunities for generative AI.

IBM IBV's recent survey of executives found that the key barriers to the effective deployment and use of generative AI are linked to security, privacy, ethics, regulations and economics – not access to the underlying technology itself.

Organizations will have to evaluate where in their enterprise the potential gains and cost efficiencies outweigh the risks of possible errors or unintended consequences from the use of generative AI along with broader ethical considerations. Ecosystems expand generative AI opportunities to harness data, insights and technology capabilities from across partners and stakeholders while enabling control over the capabilities that are most central to an organization’s value proposition.

Most recent C-suite surveying suggests current applications of generative AI, although hyped, are fragmented and unlikely to yield major financial returns anticipated. Instead, business leaders expect major value from generative AI will be achieved through application of generative AI to innovation: operational innovation, product and service innovation, and most elusive of all, business model innovation.

Findings and analysis presented draws on data from several surveys of C-level executives conducted by IBM Institute for Business Value in collaboration with Oxford Economics during 2023. Each survey focused on the potential of generative AI in a particular business area. The n-count of each survey ranged from 100-3000.

1. Business leaders expect generative AI to build on returns achieved from investments in traditional AI, with 10 percent RoI expected on generative AI investments by 2025. 2. Executives anticipate that generative AI will have most impact when implemented to expand innovation. 3. Specific examples provided for operational innovation, product innovation, and business model innovation

We are still very early in the generative AI development cycle. We have made best efforts to project, but only time will tell for sure.

Business application of generative AI are extremely fragmented. Despite the desire to throw investments at the wall to see what sticks, it is important that leaders take a structured approach to generative AI, focusing on RoI from innovation investments.

To alleviate negative impacts of generative AI, focusing on innovation potential and value maximization is crucial.

This research is based on completely new surveying and data. This papers adds to the sum total of new knowledge in the generative AI domain.

Against the backdrop of IBM Personal Computer Business's acquisition by Lenovo Group, this case introduces the remodeling process of Lenovo's HR organization and development team, during which the company's 5P principle, namely “Plan (think clearly before making promise), Perform (promise is to be fulfilled), Prioritize (company's interest is top priority), Practice (make progress every day in every year), Pioneering (venture any experiment to be a trailblazer), takes shape. After learning about Lenovo's recruitment of internationalized talents, cross-cultural coaches for senior leaders, cultural development in internationalization and risk aversion in international operations, we can understand what Lenovo's HR team does to avoid conflicts in corporate culture and ethnic culture in cross-border mergers and acquisitions and integration, and how to adjust and change the HR management system.

Lack of trust and poor quality of construction deliverables have become a serious matter nowadays. This is due to the absence of a uniform and decentralized system for managing quality information. In Kuwait’s industry, many incidents have been recorded as a lack of confidence in the authenticity and integrity of the documented data in the system. This paper aims to shed the light on a framework that would tackle this matter.

A designed framework using Blockchain technology (Hyperledger Fabric) has been used to create a transparent and decentralized environment between the parties. A digitalized informative checklist referred to as “Smart Construction Inspection Checklist (SCIC)” has been initiated to enhance the poor information recorded between the parties.

The framework has provided a transparent, immutable, traceable and decentralized environment in which all parties are involved in transactions. In addition, the integration of the SCIC in the blockchain environment provided an advantage in which all the necessary criteria of inspection will be stated, checked by the consultant and validated by the client to approve the transaction. A preliminary testing has been conducted to support the proposed framework.

This study fulfils the gap in the state of art for further studies to practically apply the framework that will enhance the quality of information management in Kuwait’s industry.

Using the integrated behavioural model (IBM) as a theoretical framework, this study aims to identify the determinants of saving behaviour among Malaysia's income-earning Generation Y (Gen Y) born in the years 1980–1995.

The study was conducted using a questionnaire survey targeting Gen Y respondents 500 sets of responses were obtained via convenience sampling method.

Analysis conducted using partial least squares structural equation modelling (PLS-SEM) revealed that there were positive relationships among instrumental attitude, injunctive norm, perceived control, self-efficacy and intention to save. Secondly, intention to save, financial literacy and time preference were found to positively influence saving behaviour.

Policymakers may find this study useful as the results reveal saving behaviour determinants of Gen Ys in Malaysia, and policies could then be formulated to improve Gen Y's saving behaviour.

This study contributes to the literature by applying the IBM to a study on saving behaviour.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0340

The purpose of this study is to explore how companies can adopt digital humanism (DH), defined as the integration of humanistic skills in the development process of digital technologies, to create value and consequently develop effective business models. Specifically, the aim is to answer the following research question: what are the main DH mechanisms through which companies create value?

Given the limited understanding of the phenomenon under investigation, a qualitative approach was adopted based on a multiple-case study to explore how companies are embracing DH. The study will focus on three exemplar cases in the use of DH, namely, IBM, Microsoft and SAP, well recognized as three of the market leaders in the IT industry. In addition, the selected companies are recognized as some of the most innovative in their specific industries, hence offering a rich set of information on how to specifically embrace DH.

This study unveils the main mechanisms through which companies can create value by implementing DH’s approaches into their business models.

The originality of this research lies in its focus on how companies integrate DH into their business models. Indeed, the study aims at uncovering the main mechanisms that companies use to integrate DH into their overall business practices. Overall, this research provides valuable insights into how companies can effectively integrate DH into their business models, which could have important implications for creating responsible, sustainable and inclusive solutions that prioritize human needs and values.

This study aims to examine how chief executive officer's (CEO) personality traits influence the corporate sustainability performance (CSP) of firms. The paper also examines the moderating effect of board power on this relationship.

Using a linguistic tool (IBM's Watson Personality Insight Service), the authors measured the personality traits of 229 CEOs from 176 firms from 2009 to 2018. Firm-level CSP are obtained from the Sustainalytics database. The hypotheses are tested using multiple regression analysis. The robustness of the results of the study is confirmed by addressing endogeneity concerns and by validating the measurement of CEO personality traits using Personality Recognizer, an alternative linguistic tool.

The results show that CEO personality traits of extraversion and neuroticism are significant predictors of CSP. The paper also identifies board power as a contingent factor that influences the suggested relationships.

Using upper echelon theory and cybernetic big five theory, this paper identifies CEO personality traits as important antecedents of corporate sustainability performance and adds to the micro-foundations of corporate sustainability literature. To the authors’ understanding, this is the first study that examines the influence of CEO personality on CSP using a comprehensive trait framework. The paper also demonstrates the usefulness of text-analytic tools to measure CEO personality traits, thereby contributing to the progress of upper echelon theory.

To endure and cope in the rapidly changing environment, it is required of firms to gain a deeper acquisition of knowledge on market dynamics and subsequently concentrate on corporations' capacity to create, restructure and integrate their internal and external competences. Hence, the objective of this study is to investigate the influence of eco-dynamic capability (EDC) on the sustainability performance of small and medium-sized enterprises (SMEs).

Structured questionnaires were used to obtain primary data. The data were solicited from 500 employees and owner-managers of SMEs. The study’s hypotheses were tested using standard multiple regression through IBM SPSS Statistics (version 24).

The study revealed that EDC has a substantial positive effect on the economic, social and environmental sustainability performance dimensions.

The focus of this study is on EDC. Thus, although dynamic capability has been the subject of substantial study, little is known regarding the effect of EDC on the economic sustainability performance (ESP) (financial), environmental sustainability performance (ENSP) and social sustainability performance (SSP) of SMEs, predominantly amongst SMEs in emerging economies.

This study aims to examine the influence of two significant product labelling strategies (geographical indication [GI] vs country-of-origin [COO]) on shaping customer product attitude and purchase likelihood, considering consumers’ ethnocentric and cosmopolitan tendencies. The authors also investigate the boundary conditions and intervening mechanisms to manage the adverse consumer product evaluations and present mitigating procedures which reinstate favourable product evaluations and purchase likelihood.

The collected data from these all these studies were analysed using ANOVA and mediation anlaysis. The study tests the proposed hypotheses using three follow-up experimental investigations.

The study found that GI (vs COO) labels have a more significant impact on customers’ product evaluation and likelihood of purchase and supported the dispositional effect of ethnocentric and cosmopolitan inclinations. Further, the results indicated that self-product congruence can efficiently regulate consumer dispositions. Also, the results confirmed the significant impact of product identification on influencing consumer attitudes.

The above-said insights add practical insights, particularly concerning product labelling. Also, the insights on product attitudes and purchase likelihood intricacies in the context of product labelling enable companies to comprehend better the significance of GI labels, COO labels and self-product congruence.

To the best of the authors’ knowledge, this is the first time a study has compared the role of two significant product labelling strategies (GI vs COO) in shaping customer product evaluations, confirmed its boundary conditions and shown how to transform them into helpful customer product outcomes.

This study aims to explore the direct and indirect effects of sales opportunism and sales conflict as well as of non-economic and economic satisfaction in business-to-business (B2B) sales relationships. This understanding offers B2B buyers enhanced knowledge of sales business expectations towards sustainable business relationships in the future.

Through self-administered questionnaires, data were obtained from 237 sales or marketing managers/directors of small- and medium-sized companies across industries in Spain, who were randomly contacted via LinkedIn. The multivariate analysis of measurement and structural models was based on IBM SPSS Amos 27.

The study confirms that sales opportunism positively affects sales conflict. Moreover, sales opportunism is negatively associated with non-economic sales satisfaction, whereas non-economic sales satisfaction is positively associated with economic sales satisfaction. Consequently, if all associates are pleased with the relationship and the gains it can provide, a long-standing orientation can be achieved.

The study expands existing theory on seller–buyer relationships in a B2B context. It contextualises direct and indirect relationships between two antecedents (sales opportunism and sales conflict) and two postcedents (economic sales satisfaction and non-economic sales satisfaction) in sales business–buyer settings.

The study guides buyers in B2B relationships towards an improved understanding of how sales businesses perceive opportunism and conflict (as negative precursors) to impact non-economic satisfaction and how it can influence economic satisfaction.

Most studies explore B2B relationship building from the perspective of the buyer, thereby creating a shortfall in developing an understanding of all partner expectations in B2B relational intent. Moreover, the measurement of satisfaction as a multidimensional construct secured the integration of non-economic satisfaction and economic satisfaction within a single model allowing the constructs measured in this study to be holistically assessed.