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The purpose of this paper is to propose a typology of the information sources for new customers or suppliers on the basis of their existing relational linkage with the acquiring firm and to further explore whether various types of information sources for new customers and suppliers have any differential effect on a firm’s immediate innovation output.

The research sample was taken from the data collected by WB enterprise surveys (2005). The WB enterprise survey is considerably comprehensive for firm-level data. Relevant questions for the study were extracted from the survey. Simultaneously, EFA, CFA and SEM using AMOS 6.0 was run for the analysis.

The findings confirm that sources for a new customer and supplier with a strong relational aspect have a significant positive effect on a firm’s innovation output in the immediately following period.

The research acknowledges the need to measure the effect of new supplier/customer on innovation depending on the type of information sources separately for product and process innovation as one of the major limitations.

This research can help managers obtain information of holistic and critical nature to incorporate in decision making for improving firm performance in innovation.

Customers and suppliers are well-established external sources of innovation ideas and information. But to what extant new customers or suppliers may be effective resources for innovation may depend largely on the sources through which they themselves are acquired by a firm, which is relatively unexplored. This study addresses the gap is the first of its kind to explore the role of the sources of information for new customer/supplier on a firm’s innovation output in the immediately following period.

The paper aims to analyze the potential of artificial intelligence (AI) in enhancing marketing capabilities for Indian fast-moving consumer goods (FMCG) firms, with appropriate emphasis on dynamic capabilities (DC). By integrating AI into their operations, companies can enhance diverse marketing practices, leading to improved efficiency and effectiveness. In addition, the study offers valuable insights and guidance for effectively implementing AI in marketing strategies.

In-depth interviews of 26 seasoned professionals from various positions in the Indian FMCG sector were conducted for the study. A systematic approach of coding that includes open, axial and selective coding was made to recognize the themes that represent AI-enabled marketing practices. This approach ensured that the themes were precisely identified and comprehensively analyzed. Interviews followed by a rigorous coding process provide valuable insights into the practical implementation of AI-enabled marketing practices for the Indian FMCG industry.

The study’s results underscore the importance of AI in enhancing marketing practices for FMCG firms, particularly in four critical areas: personalization, consumer engagement, marketing automation and strategic goals. By adopting AI in these areas, Indian FMCG firms can significantly enhance their marketing capabilities, increasing efficiency, effectiveness and gaining a competitive advantage.

The study uses qualitative data analysis to explain how DC through AI technologies can enhance digital marketing practices for Indian FMCG organizations. Furthermore, the study provides valuable insights into how AI technologies can improve marketing capabilities and emphasizes the importance of DC. The study also proposes a framework for AI-enabled Marketing 4.0 that can guide FMCG firms seeking to leverage AI technologies to enhance their marketing practices.

This study outlines the potential for enhancing marketing practices by adapting AI in the Marketing 4.0 environment for Indian FMCG companies, highlighting the importance of DC in achieving this goal.

The significance of social media in our lives is manifold. The tourism sector closely interacts with existing and potential tourists through social media, and therefore, social media analytics (SMA) play a critical role in the uplift of the sector. Hence, this review focus on the role of SMA in tourism as discussed in different studies over a period of time. The purpose of this paper to present the state of the art on social media analytics in tourism.

The review focuses on identifying different SMA techniques to explore the trends and approaches adopted in the tourism sector. The review is based on 83 papers and discuss the studies related to different social media platforms, the travelers' reactions to a particular place and how the tourism experience is enriched by the way of SMA.

Findings indicate different sentiments associated with tourism and provides a review of tourists’ use of social media for choosing a travel destination. The various analytical approaches, areas such as social network analysis, content analysis, sentiment analysis and trend analysis were found most prevalent. The theoretical and practical implications of SMA are discussed. The paper made an effort to bridge the gap between different studies in the field of tourism and SMA.

SMA facilitate both tourists and tourism companies to understand the trends, sentiments and desires of tourists. The use of SMA offers value to companies for designing quick and adequate services to tourists.

Determining the proper sample size and frequency of sampling such that quality is assured while financial losses are not unnecessarily incurred is critical to an effective quality program. The main purpose of the present work is to design a fuzzy controller to adjust sample sizes and frequency of sampling according to potential fuzzy benefit/loss. A set of fuzzy rules is given where, depending on the antecedents, the sample size and/or sampling frequency may be decreased, remain static or be increased. At any given moment the proportion of defects in the sample determines the firing strength of the rules suggesting an appropriate sample size and sampling frequency. The firing strength is then modified to include an analysis of the decision maker’s belief that as sampling takes place and adjustments are being considered benefit or loss would be incorporated prior to any action or adjustment to sample size and/or frequency.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

WITH the advent of supersonic flight the effects of kinetic heating have made themselves felt throughout the design of the aircraft and its associated systems and equipment. Aircraft tyres (forming part of the retracted undercarriage) normally rest close to the skin of an aircraft which is subjected to an increase in temperature at supersonic speeds. In order to be able to test satisfactorily tyres for supersonic aircraft, the Aviation Division of The Dunlop Rubber Company has installed test equipment which simulates the various heating conditions likely to be encountered, and these facilities are described in the following article.

The product‐mix decision has received considerable attention in management accounting and economics literatures. However, many studies in these literatures are contradicting, inconclusive and lack rigorous analysis of this complex decision. They seek to develop weights for the products in the product mix based on one objective, to maximize the firm’s profit ability. But before developing these weights, the studies must first rank these products, Ranking is a complex endeavor since it is often driven by a multitude of hierarchical financial and non‐financial goals and objectives. Ranking is also difficult due to the use of complex concepts such as time, uncertainty, cost and interdependencies between accounting systems and manufacturing systems and among the products of the product mix. These concepts are inherently fuzzy and coextensively applied often with a confluence of variables operating simultaneously. This paper applies an advanced mathematical model to account for the product mix decision. The model combines the powers of fuzzy‐set theory (Zadeh, 1965) and the analytic hierarchy process (Saaty, 1978). The fuzzy‐analytic‐hierarchical process (FAHP), developed by de Korvin and Kleyle (1999), is sufficiently powerful to account for the ambiguous variables and the web of prioritized strategies and goals of cost leadership, product differentiation, financial objectives of earnings, cash flows and market share and non financial goals such as tradition and owners’ convictions and philosophies underlying the ranking of the products in the product mix. By way of example, the paper applies the FAHP model to rank order four products subject to these strategies and goals.

IT IS PERHAPS with wry understatement that the recent public declaration by the Library Association Council on the subject of library expenditure includes the remark that ‘The Library Association does not claim that libraries should be exempt from the economies which must now be borne by all’, for it has been manifestly apparent, since some dim realisation of national economic crisis first began to seep into the quasi‐cerebral thought processes of those who conduct government and local government, that the first neck upon which the sharpness of the axe would be tested has been library services everywhere.

The Nature of Business Policy Business policy — or general management — is concerned with the following six major functions:

The purpose of this paper is to survey and analyse the literature emanating from less developed countries (LDCs) and international agencies and dealing with their perception of the needs of LDCs for scientific and technical information (STI) in relation to social and economic development.