Search results

This article presents the results of a metaphor‐based investigation of managers, supervisors and team leaders drawn from the UK subsidiaries of a large US multinational. Participants were asked two main questions, namely: if you were asked to compare your organisation to an animal – what animal would it be? and If the organisation was part of a car – what part of a car would it be? The selection of animals equates to aspects of organisational change. Images of heavy and slow moving animals exemplified low levels of change activity while lean, fast moving, and often predatory animals portray an adaptive organisation responding to a turbulent environment. The car part descriptions were largely concerned with aspects of corporate strategy and primarily conveyed the characteristics “movement” and “direction”. The article discusses these insights in relation to the case study organisation. It also considers the role, status and utility of metaphor in the study of organisations.

Here's how to eliminate slow‐moving inventory to increase customer service.

This study aims to understand the impact of student entrepreneurship and university support on faculty intrapreneurship. The authors also analyze the role of the university’s dynamic and ordinary capabilities and the environmental dynamism in which the university is embedded.

With a large survey data set involving 680 professors and 2,230 students from 70 Brazilian universities, the authors use a multimethod approach with partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

The PLS-SEM results demonstrate that student entrepreneurship indirectly influences faculty intrapreneurship through the interaction of students with faculty and entrepreneurs, in addition to proving the intense influence of university support on faculty intrapreneurship, especially in a slow-growth environment. Additionally, the authors confirmed the moderating effect of universities’ dynamic and ordinary capabilities on student interaction and university support, respectively, and some exciting differences considering the ecosystem dynamism. The fsQCA results deepened the differences between environments, presenting different configurations between the antecedents that lead to high levels of faculty intrapreneurship in fast and slow-growth environments.

The study makes a unique and significant contribution to the literature on faculty intrapreneurship by examining the cross-interactions between individual, organizational and environmental levels about the promotion of faculty intrapreneurship. From a practical point of view, it is possible to identify more effective, innovative and systematic ways to encourage faculty intrapreneurship in a developing country. The findings help open up the black box of faculty intrapreneurship.

Inventory accumulation is a major problem for any organization, as it not only occupies the valuable storage space, but it also blocks the company's capital, leaving the owners with less cash to run the company's business. Aggregation of inventory in any organization contributes to inventory carrying cost; it affects labor productivity, increases equipment expenses and creates a loss of opportunity associated with it. Therefore, it is essential for any organization to come up with a solution to deal with the stockpile of inventory.

This research aims to examine the potential causes of inventory aggregation in an organization. First, the potential factors for the build-up of inventory are identified from survey data collection, such as questionnaire approach and discussion with industry experts, and then weights are assigned to attributes to study the effects for these factors. After the identification of probable causes, they are analyzed through a multi-criterion decision-making (MCDM) approach and the technique for order of preference by similarity to ideal solution (TOPSIS) to prioritize the severity of these causes toward the accumulation of inventory and take corrective actions to prevent their disruptive effect on the business.

The top three causes identified from the TOPSIS analysis are sales and forecasting error, defects and quality related issues and communication gap between departments. Firstly, we focus on these major contributors and prioritize them using the TOPSIS analysis. Then, we proceed further toward other factors. The main reasons identified for the accumulation of inventory are (1) forecasting error, (2) bulk purchase, (3) data entry error, (4) communication gaps, (5) quality-related issues, (6) product category not traceable and (7) wrong material being procured.

To carry out the data analysis in this research paper, first survey data collection is done. Then, discussions with managers and executives in the particular domain are carried out, and weights are assigned to the attributes and the criteria to study the effects of the identified factors. After that root cause analysis (RCA) is performed to get to the genesis of the problem and to take necessary corrective action, for carrying out this study, a total of seven potential causes were identified and the contribution of these seven causes on five attributes or criteria, i.e. quantity (in tons), holding and carrying cost, effect on labor productivity, loss of opportunity cost and storage space were studied.

This research paper is the author’s original work, and all the analyses carried out are from the discussion with experts in the field and through the in-depth analysis carried out. This research aims to examine the potential causes of the accumulation of inventory in organizations and their contribution toward factors like inventory carrying cost, labor productivity, and opportunity loss and excessive storage space have been analyzed. This research provides great value to the readers in the respective domain.

The purpose of this paper is to show how simulation of the flow of particulates and fluids using discrete element modelling (DEM) and smoothed particle dynamics (SPH) particle methods, offer opportunities for better understanding the dynamics of flow processes.

DEM and SPH methods are demonstrated in a broad range of computationally‐demanding applications including comminution, biomedical, geophysical extreme flow events (risk/disaster modelling), eating of food by humans and elite water‐based sports.

DEM is ideally suited to predicting industrial and geophysical applications where collisions between particles are the dominant physics. SPH is highly suited to multi‐physics fluid flow applications in industrial, biophysical and geophysical applications. The advantages and disadvantages of these particle methods are discussed.

Research results are limited by the numerical resolution that can currently be afforded.

The paper demonstrates the use of particle‐based computational methods in a series of high value applications. Enterprises that share interests in these applications will benefit in their product and service development by adopting these methods.

The ability to model disasters provides governments and companies with the opportunity and obligation to use these to render knowable disasters which were previously considered unknowable. The ability to predict the breakdown of food during eating opens up opportunities for the design of superior performing foods with lower salt, sugar and fat that can directly contribute to improved health outcomes and can influence government food regulatory policy.

The paper extends the scale and range of modelling of particle methods for demanding leading‐edge problems, of practical interest in engineering and applied sciences.

This study aims to propose that, in business-to-business (B2B) industries, number of strategic alliances firms established before a “black swan” event enhances their chances to survive the black swan, and the enhancements take place through moderation effects. Changes in firms’ core structures – their stated goals, authority structure, core technologies and marketing strategies – to adapt to business jolts have adverse effects on firm performance. Firms’ existing B2B strategic alliances moderate the effects negatively by outsourcing different goals, authority structures, core technologies and marketing strategies to partners who fit the changed environment.

This study collected quantitative data and analyzed the data with the regression method.

Using data from Chinese firms in five technology industries during the 2007–2009 economic crisis, this study finds that firms’ internal adaptation is negatively correlated with their performance during economic crises, and B2B strategic alliances negatively moderate this relationship.

First, this study focuses on B2B strategic alliances, and it is not clear whether the findings apply to B2C industries, where strategic alliances may not be common. Perhaps firms can use other means of survival in addition to strategic alliances in B2C industries. Second, this study does not differentiate between fast-moving and slow-moving industries, and it is not clear whether strategic alliances play the same role in both industries. Third, this study does not differentiate firm ages and sizes. It remains unclear how large, established and small, young firms differ when facing crises. Finally, this study is based on the Chinese setting, and it is not clear whether the findings apply to other markets as well. These issues should be explored in future studies.

Changing firms’ core structures harms their performance during black swan crises because such crises are unpredictable, and planned changes may not adapt firms to crises. Managers should not attempt to change their core structures during crises. B2B strategic alliances provide an effective means for firms to survive crises.

This paper makes two contributions to the existing literature: First, this paper demonstrates that changes of one of the four core structures of a firm to cope with black swan events have negative impacts on firm performance. Second, this paper identifies the importance of holding a variety of strategic alliances previously to the black swan events to reduce the negative impacts of changing core structures.

The current study conceptualizes and empirically tests a new model of market brand equity (MBE). This model, that not just provides an understanding of customer mindsets toward the brand, as most empirical models do, but also measures the marketing benefits of such mindsets. The present study offers two models. One is comprehensive and theoretical while the other is an empirical model. The empirical model is a practical model drawn from the more comprehensive and conceptualized model. The hypothesized empirical MBE model is tested using structural equation modeling (SEM) analysis followed by a formula that offers a method to calculate and rank competitive brands in the market place. The purpose of this paper is to conclude with a discussion of the implications of the model.

The findings of the present research are based on a representative sample of 964 cellular phone users selected randomly from an Israeli internet panel were analyzed. The questions related to the dimensions of the brand equity needed a more intimate relationship of the customers with the brand. Thus, those questions were asked only with regard to the brand that the respondents were mainly using. These questions were concerned with brand knowledge, brand commitment and brand overall attitude. The other questions that the respondents answered were about three other brands on the market. All dimensions, except purchase barriers, were measured on a ten-point scale.

SEM analysis was used to test the hypothesized MBE model as well as alternative models. The results, which supported the hypothesized model, indicated that knowledge has a strong positive effect on image, personality and attitude. Image has a positive effect on attitude, but that of personality was insignificant. Attitude, image and personality have a positive effect on commitment. Commitment affects recommendation strongly and positively. Both commitment and recommendation have a positive and significant effect on potential market share.

The limitations of the current research are that it was not measured over time and that only one product category has been tested. In addition to dealing with these limitations, future research may also add additional marketing performance outcome variables such as the ability to obtain premium prices and to exercise brand power in relation to channels of distribution.

The model presented in this paper provides the marketer with the ability to compare, from a competitive perspective, the relative average in the market place of customer mindset, customer performance and marketing performance. The analysis also reveals whether to invest in strengthening customer mindset or in capturing a greater market share. When the brand leader is far from its followers, an additional analysis may be required and it may be necessary to increase the sensitivity of the analysis by examining separately (without the leading brand) the relative differences between the follower brands. Moreover, the measurement questions should be adjusted to fit different product categories. For example, in testing the MBE in the service industry, “product performance,” which is a component of brand commitment, should be measured by the “quality of service.” But the way of using the model will not change. Another example for future research may be found in sport marketing, such as among football or basketball clubs. In such instances, performance – winning or losing – or even the quality of the players on the team may be considered. It is suggested here that the MBE’s measurement of fast-moving products vs slow moving ones. However, in such cases the model would probably show a significant difference in involvement with the brands of fast-moving products displaying much lower customers’ involvement then brands of slow-moving products.

The empirical model suggested in this study is a new and practical market-based brand equity that uses commitment as the main construct, building brand equity to represent the performance outcome of the customer mindset used in the models noted above. The current study also offers a new practical and useful formula for calculating and ranking MBE.