Search results

Multimarket competition is an area of competitive dynamics focused on studying situations where firms compete against each other simultaneously in more than one market. The intensity of competition depends on the aggressiveness and the market contingencies, influencing the competitive strategies. Particularly, the purpose of this paper is to explore the influence of multimarket competition and market contingencies on innovation.

An exploratory qualitative approach using the Grounded Theory is applied with conceptual purposes. The data were collected through in-depth semi-structured interviews and additional observations with senior strategies and decision-makers. The paper follows an extensive narrative to understand decision-taking processes on competitive strategy with the support of analytical software. The paper was performed in the automotive components industry making seats in two different countries to acknowledge the influence of market contingencies.

The results suggest that multimarket competition does not reduce the level of aggressiveness, but it offers a background that favors opportunities for companies and new business in circumstances of crisis associated to innovation. Depending on the market contingencies, strategies can foster a higher technological innovation, in those cases of high development in the industry, or diversification, when the development is lower.

This paper contributes to enrich multimarket competition theory with the study of innovation strategies in different market conditions, a topic not much explored in multimarket literature. Additionally, it suggests implications for managers attending to different market contingencies.

This research aims to reach meaningful insights into fruit consumption motives. The study articulates contextual motives observed through inherent fruit characteristics (i.e. attributes and benefits) with personal motives that transcend the situation (i.e. emotions and cultural values).

This qualitative study used the focus group technique comprising eight groups of eight to 10 subjects (n = 94). The participants were frequent fresh-fruit consumers.

The analysis differentiates contextual motives from transituational ones. Older participants are motivated by taking care of health matters. They value fruit as an expression of their determination to take action and care for others. Younger participants are motivated by the experience of pleasure. Fruits have a hedonic value related to joy, being refreshing and tasteful.

Results serve marketers and decision-makers to better target motivations for fruit consumption enhancement. These motivations could be implemented by communicating specific fruit attributes that respond to short-term needs. In the long run, marketers could create fruit consumption campaigns that respond to deeper consumer values.

Designing fruit consumption campaigns aligned with individuals' motives could effectively strengthen the adoption of a healthy lifestyle. This study is helpful from the aspect of a public-policy approach expected to improve public health.

Consumers' fruit preference transcends tangible product characteristics to motives aligned with their goals, emotions and human values. This path merges two approaches: contextual motivations and the Means-end chain model. The first approach recognises short-term observable product characteristics, whereas the latter works on long-term values.

This article aims to introduce a guide to improving hospital bed setup by combining lean technical practices (LTPs), such as kaizen and value stream mapping (VSM) and lean social practices (LSPs), such as employee empowerment.

Action research approach was employed to analyze the process of reconfiguration of bed setup management in a Brazilian public hospital.

The study introduces three contributions: (1) presents the use of VSM focused specifically on bed setup, while the current literature presents studies mainly focused on patient flow management, (2) combines the use of LSPs and LTPs in the context of bed management, expanding current studies that are focused either on mathematical models or on social and human aspects of work, (3) introduces a practical guide based on six steps that combine LSPs and LSPs to improve bed setup management.

The research focused on the analysis of patient beds. Surgical beds, delivery, emergency care and intensive care unit (ICU) were not considered in this study. In addition, the process indicators analyzed after the implementation of the improvements did not contemplate the moment of the COVID-19 pandemic. Finally, this research focused on the implementation of the improvement in the context of only one Brazilian public hospital.

The combined use of LSPs and LTPs can generate considerable gains in bed setup efficiency and consequently increase the capacity of a hospital to admit new patients, without the ampliation of the physical space and workforce.

The improvement of bed setup has an important social character, whereas it can generate important social benefits such as the improvement of the admission service to patients, reducing the waiting time, reducing hospitalization costs and improving the hospital capacity without additional physical resources. All these results are crucial for populations, their countries and regions.

While the current literature on bed management is more focused on formal models or pure human and social perspectives, this article brings these two perspectives together in a single, holistic framework. As a result, this article points out that the complex bed management problem can be efficiently solved by combining LSPs and LTPs to present theoretical and practical contributions to the important social problem of hospital bed management.