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This paper aims to explore the usage of selling influence tactics across prospective customers with differing information-related needs.

The research study uses an exploratory critical incident technique (CIT) methodology to identify and examine salesperson influence tactics.

This study identifies and explores the use of salesperson influence tactics across three information-based conditions often encountered by salespeople (i.e. information seeking customers, informed customers with information inaccuracies and informed customers making sub-optimal decisions). Regardless of condition, salespeople readily used non-coercive information exchange tactics. Whereas, recommendations and ingratiation tactics were applied by more effective salespeople when interacting with informed customers with information deficiencies. Furthermore, salespeople report executing less effectively with prospects with inaccurate preexisting information and with prospects making flawed or sub-optimal decisions.

Findings illustrate the need for a renewed focus on salesperson influence tactics, the conditions under which they are effective, and how salespeople adapt their influence tactics to various situations. The exploratory nature of this study limits the generalizability of findings.

A framework of adaptive selling strategies is proposed to help tackle new challenges faced by B2B salespeople in today’s information intensive market. When interacting with more informed customers, pre-existing information is often inaccurate and incomplete. Thus, salespeople must assess and address these flaws and gaps and can adapt their influence strategies to do so effectively.

Industrial buyers today have virtually unlimited avenues to conduct extensive research and gain supplier information without the aid of interactions with salespeople. Thus, salespeople often enter sales interactions when their prospects have significantly more information than ever before. By examining salesperson influence techniques in selling situations that vary based on prospective customer preexisting knowledge, this research provides guidance on how selling may need to change in a more information intensive era.

We live in a consumer society. Most of us make significant, expensive purchases of consumer durables, with, I suspect, increasing frequency. It is interesting to consider the ways in which we go about making these purchases. Generally, there appear to be three different approaches. Some people simply go into town on a Saturday, drift around the shops and buy whatever appears most closely to meet their needs. Or more probably, buy the item which is recommended by the sales person they trust most. Others check through Which? and select the item which best meets their needs for the price they are prepared to pay. The third category, and I must confess to being part of this group, buy something on impulse and then, as they write out the cheque, feel a twinge of guilt because they had not checked in Which?.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

The paper introduces and annotates periodical articles, monographs, and exhibition catalogues examining library instruction and information literacy.

The paper provides information about each source, discusses the characteristics of current scholarship, and describes sources that contain unique scholarly contributions and quality reproductions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Developments in digital technology means many customers enjoy wider access to information than previously. Poor reliability of certain sources risks potential clients having information gaps or in possession of knowledge that is inaccurate or misleading. Salespeople in B2B contexts must therefore determine the knowledge status of potential customers and accordingly adapt and use appropriate sales information tactics to make desired outcomes more attainable.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to look at organizational culture and knowledge sharing, and to explore how a leader fosters a culture of knowledge sharing in an information organization.

The literature survey is used. It indicates that little is known about how to foster a culture of knowledge sharing from a leadership perspective in an information organization.

This study finds that the main approaches that a leader need to use to foster a culture of knowledge sharing are to set the mission, short-term, middle-term and long-term goals and objectives of fostering a culture of knowledge sharing, master as many leadership styles as possible, adjust and choose a leadership style that is appropriate to fostering a culture of knowledge sharing in a given situation, lead by example, develop messaging, make a communication plan, reward and recognize knowledge-sharing behaviors and make knowledge management fun.

The limitation is that this study is solely focused on the literature survey and opinions.

This paper provides a useful overview of the approaches used to foster a culture of knowledge sharing in an information organization.

The views, approaches and suggestions will be useful and valuable to improve the success of knowledge sharing in information organizations in the digital age.

This paper aims to investigate the eHealth ecosystem’s evolution during the coronavirus disease 2019 (COVID-19) pandemic and its effects on the progression of care for patients with chronic cardiovascular disease.

To attain the aim of the study, this study chose to adopt a qualitative method that matches the complexity of the issue. The study was conducted in a real context through 44 face-to-face semi-structured interviews of key informants at different levels of the Italian eHealth service ecosystem, via Microsoft Teams. The interviews were carried out from June 2020 to January 2021. In this research, we adopted an abductive approach that enabled a process where the theoretical framework and the data analysis evolved at the same time.

The study results were used to develop a conceptual framework that considers the key factors enabling and constraining the evolutionary process of the eHealth service ecosystem. In particular, the drivers that emerged from the study were actor role empowerment, actor–network engagement and resource reconfiguration while the inhibitors were inter- and intra-actor misalignment, resource myopia and the platformisation gap. The findings also revealed the pivotal role of the meso level in the development of the eHealth service ecosystem, boosted by the COVID-19 pandemic.

By adopting a service ecosystem perspective, this paper contributes, at both a theoretical and a managerial level, to a better understanding of the dynamics related to the diffusion of eHealth. The study identifies the main issues that researchers, managers and policymakers should address to support the evolution of the eHealth service ecosystem, with particular regard to chronic cardiovascular disease.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This study analyzes in-depth how knowledge-intensive small and medium-sized enterprises (SMEs) can achieve higher new product development (NPD) process performance in the epidemic era and examine the internal development mechanism of knowledge-intensive SMEs in the process of continuous digital transformation.

This issue is tested with partial least squares on data collected via a survey conducted from November 2021 to February 2022. The sample comprises 487 knowledge-intensive SMEs operating in China.

The results indicate that one form of cross-functional ambidexterity, market development strategy (MDS), plays an important role in process performance from an inside-out financial perspective and an outside-in customer perspective. Simultaneously, product innovation efficiency (PIE) mediates the relationship between MDS and the above results. Big data analytics capabilities (BDACs) positively regulate the relationship between MDS and PIE.

The authors do not consider other contingency factors. Future research should introduce influential factors such as leadership and competitive intensity to further distinguish the effects of MDS on NPD process performance.

The study findings offer suggestions to help knowledge-intensive SME managers better manage their NPD process by making better use of their limited resources in developing countries such as China.

This study is one of only a few to adopt a process-oriented perspective to specifically examine how one form of cross-functional ambidexterity, MDS, impacts knowledge-intensive SME process performance in the epidemic era. This study also extends the theoretical framework of cross-functional ambidexterity to BDAC research.

The purpose of this article is to explore the relationship between equity and schooling in a post‐industrial society using a scenario of the learning intensive society.

The method used here, but not elaborated as such, is based on a “hybrid strategic scenario method” that is a technique for building “futures literacy”.

Industrial era schooling may be incompatible with post‐industrial heterarchical equity.

By questioning the role of schools in developing the capacities necessary for post‐industrial society this article calls for an examination of emergent alternatives.

Both the method and conclusions are distinctive and may be valuable for strategic conversations aimed at questioning the assumptions that shape the decisions made today.

This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not.

This study is based on an event study using data from two stock markets in China.

The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along.

This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets.

Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.