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The use of a life‐cycle framework is explored as a means of describing the evolution of partnership relationships between industrial buyers and sellers. Based on case studies of eight manufacturing firms, industrial buyer‐seller partnerships evolve through four stages: development, commitment, integration and dissolution. In addition to exploring a “traditional” life‐cycle pattern, case studies are used to illustrate and support examples of variations on the traditional partnership life‐cycle pattern. The life‐cycle analogy is useful to both practitioners and theorists in developing, understanding and influencing the patterns which industrial buyer‐seller partnerships may follow.

This paper aims to investigate the alignment between the information‐processing needs and capabilities during interorganizational relationships through the lenses of both the product and the business relationships life cycle concepts, and the types of information exchanged.

This paper follows up on a previous empirical study conducted in the automotive sector, investigating the electronic collaboration within the supply chain of a large European Automotive Supplier (EAS). Out of the 61 respondents from this previous study, four illustrative cases are selected to further investigate their information alignment, where each case involves one specific relationship between EAS and its business partners based on the supply chain collaboration classification provided by the German Association of the Automotive Industry (VDA).

The conclusion is that the phenomenon is bimodal and requires that the different information‐processing needs and capabilities associated with each stage of both the product and the business relationships life cycles should be considered.

The small number of illustrative cases and the specificity of the chosen sector limit the generalizability of the results. Without considering the various types of information‐processing needs and capabilities as well as the stage of both product and business relationships life cycles, a biased conclusion could lead to inappropriate information and communication technology investments and business decisions.

The richness of the cases and the genuine integration of the life cycle concepts and the type of information with the notion of alignment help to identify some key aspects of interorganizational relationships.

The purpose of this paper is to investigate the relationship between firms’ life cycle stages (mature vs growth) and green process innovation performance. In addition, this research delineates the mechanism by which the mature stage firms are more strongly associated with green process innovation performance compared to growth stage firms and recognizes technological capabilities as a mediating variable fundamental to achieve a higher level of green process innovation performance.

This research collected data from 202 publicly listed Thai manufacturing firms. Initially, it used multiple regression analysis to test the relationship between mature stage firms and green process innovation performance compared to the relationship between growth stage firms and green process innovation performance. Later, this research followed Muller et al. (2005) to test the mediating role of technological capabilities and conducted (Sobel, 1982, 1986; Preacher and Hayes, 2004) tests to further validate the mediation effect.

The hypothesized relationships were found to be significant, providing a strong support that mature stage firms have higher green process innovation performance compared with growth stage firms. Moreover, the technological capabilities more strongly mediate the relationship between mature stage firms and green process innovation performance compared to growth stage firms and green process innovation performance.

This research contributes to the existing understanding about the internal drivers of green process innovation performance by incorporating and analyzing the firms’ life cycle stages as an internal driver. This research also contributes by empirically testing the mediating role of technological capabilities on the relationship between firms’ life cycle stages and green process innovation performance.

Differently from previous works that focused on the entrepreneur and on his ability to manage social relationships, the purpose of this paper is to investigate the role of business relationships in the different stages of the life cycle of a start-up.

Since the paper aims to explore startups’ evolutionary phenomenon, it adopts a qualitative abductive methodology, presenting an in-depth study of two innovative Italian start-ups. The research is based on two steps. In the first one, the authors collected secondary data from start-ups’ reports and documents, financial indicators (when available) and processed them to understand their background. In the second one, the authors conducted ten semi-structured interviews, including face-to-face interviews, phone interviews and video conferences.

The paper presents a relationship-based life cycle model composed of four different stages, depending on the number and role of relationships developed. Indeed, since the beginning, start-ups adopt a relational approach and their evolution involves the shift from the focus on the entrepreneur to the centrality of a network approach based on interconnected relationships. The entering into a new stage of life cycle depends on relationships, mainly based on connected actors and resources shared and combined. Even if a key role is assumed by technology, the main resource is identified in the knowledge concerning the customer/user’s needs that require marketing competencies, human resources, relational capabilities. Thus, the shift from one stage to the next in the start-up’s life cycle is possible thanks to a parallel shift from a focus on the activities to a focus on those strategic and heterogeneous actors that ensure activities.

In a traditional perspective, the start-up’s life cycle depends on activities, financial resources and revenues, as stated by previous life cycle models. In a different perspective, as depicted in our analysis, the evolution of a start-up depends on the portfolio of their business relationships. The role of business relationships is hence to facilitate the interconnections within specialized key actors, which allow start-ups to access strategic resources. These resources are essential in order to develop the activities that characterize the specific stage of the life cycle.

The purpose of this paper is to investigate the effect of service quality and relationship quality on customer loyalty in different stages of the relationship life cycle in online banking services.

A total of 651 Iranian online banking customers participated in the research by completing questionnaires. The research hypotheses were tested using structural modeling technique.

The results showed that the relationship quality on customer loyalty in online banking services is affected by the relationship life cycle. The results also showed that online service quality, in the form of Utilitarian quality and Hedonic quality, has a positive effect both directly and indirectly on customer loyalty through online relationship quality.

In this paper, the relationship dynamics was achieved through adding the relationship life cycle variable to the model. However, the study was a cross-sectional research and different results might be obtained if data was collected longitudinally.

In an online banking service, the role of relationship quality in the prediction of customer loyalty is reduced as the relationship ages. Therefore, marketers need to consider other marketing actions to continue their relationship with the customer in the long run.

This paper examines customer loyalty to online banking services from dynamic perspective by introducing relationship life cycle as a moderating variable for the first time. Therefore, the main contribution of this paper is to develop the relationship marketing literature in the field of relationship dynamics and to challenge the effectiveness of relationship marketing in the long run.

Drawing from the theory of relationship dynamics, the purpose of this paper is to investigate how the relationship life cycle moderates the link between relationship quality and customer value co-creation. As customer-firm relationships pass through different stages (exploration, buildup, maturity, and decline) characterized by distinct customer behaviors, this study proposes a dynamic conceptual framework.

A questionnaire was administered in financial services firms. The final valid sample comprised 2,000 individuals. Subjective customer information from the questionnaire was combined with objective data that the financial entity provided.

The results demonstrate that the relationship life cycle plays a key moderating role, revealing that, in the buildup and maturity stages, the influence of relationship quality on customer value co-creation is stronger than in the decline stage. However, for customers in the exploration stage, relationship quality does not lead to customer value co-creation behaviors.

As customer relationship stages are constantly evolving, this study provides companies with additional interesting tools to personalize business strategies and to adapt marketing investments to the specific situation of customers.

To the authors’ knowledge, this is the first study to consider how the relationship life cycle influences the strength with which relationship quality promotes customer value co-creation.

Describes the concept of the bank‐corporate “partnership” relationship, the benefits of this relationship for the bank and the firm, and the life cycle of the relationship. Shows how banks can establish, maintain, and enhance ongoing long‐term multi‐service partnership relationships with corporate clients. Four stages of the partnership relationship life cycle (PRLC) have been identified and discussed: the early stage, the development stage, and long‐term stage, and the final stage or ongoing partnership stage. PRLC suggests strategic guidelines for managing and adjusting the product/service and the relationship through the different stages of the life cycle. It requires the banker to make specific efforts to establish and develop a high quality service/product mix. Suggests that a differential strategy will be of great interest to those banks with the strongest capability to differentiate their product/service mix. The bank should understand the process and stages of the relationship of the life‐cycle. Finally, it should continually audit its relationship with each corporate client at each stage in the life cycle.

The purpose of this paper is to investigate the relationship between dividend policy and the life cycle of firms in India. In addition, this study intends to examine the variation in dividend behaviour over the life cycle of a firm. The study anticipates that a firm's dividend behaviour varies over its life cycle.

To scrutinize the validity of the proposition, the authors classify 1968 non-financial industrial firms listed at Bombay Stock Exchange (BSE) into growth, mature and stagnant firms over the period 2000–20. Additionally, to check the robustness of the results, they use an array of techniques such as analysis of variance, pooled ordinary least squares, fixed effects models and random effects models.

The empirical findings suggest that dividend behaviour varies over a firm's life cycle. Specifically, stagnant firms are paying significantly higher dividends than growth firms. Mature firms are paying significantly higher dividends than growth firms. The results are consistent after controlling the effects of firm's size, profitability, leverage, operating risk, systematic risk and growth opportunities.

The findings are useful for corporate decision makers in establishing an appropriate dividend policy conditional on firms' life cycle stage and for shareholders in making investment decisions.

The relation between dividend policy and firm life cycle has not been examined before in the context of Indian stock market. Thus, this research bridges this gap in the literature.

This exploratory study seeks to bridge a gap in the literature by exploring the life cycle‐strategy relationship to discover the preferred strategy for high and low performing firms in four of the five stages of the organizational life cycle.

In total, 600 managers randomly chosen from chamber of commerce membership lists in the southern USA were mailed an extensive scale that included items to measure life cycle stage, generic strategy, industry attractiveness and stability, size, and satisfaction with performance. The instrument included 20 life‐cycle items, four items for each of the five stages.

Partial support was found for the expected relationship between strategy and performance as firms move through the organizational life cycle. New, high‐performing organizations that were satisfied with their performance preferred first mover strategies, while renewing organizations categorized as high performers also emphasized the first mover strategic approach. Mature high performers preferred a uniqueness strategy over one based on efficiency.

The fifth proposition, concerning declining firms, could not be adequately tested. Other limitations of this study include the limited sample size, the limited size variance of participating firms, and the cross‐industry nature of the sample. Combining the research stream of organizational life cycle with generic strategies and satisfaction with performance complicated the project.

Life cycle and performance research provides managers with a snapshot of high and low performing firms and an understanding of how their situation, decision‐making style, strategy and structure fit. High performers focus on proactive, first mover strategies.

The organizational life cycle is operationalized, demonstrating characteristics for high and low performing firms in each stage except decline.

This study examines what is the significance of the features of inter-organizational relationships in consecutive phases of the relationship life cycle.

Qu antitative, large-scale surveying was run on 786 software developers operating in Poland. The research hypothesis regarding the systematic increase of relational features (i.e. commitment, communication, (lack of) conflict, cooperation, intensity, investments, longevity, multidimensionality of bonds, trust, and velocity) across the particular relationship life cycle phase le (i.e. initial, development, maintenance, dormant/end, and reactivation) was verified using ANOVA and post-hoc tests.

The results show that the majority of considered features of inter-organizational relationships non-significantly but progressively strengthen from the initial phase, through the development phase, to the maintenance phase, then significantly weaken in the dormant/end phase and strengthen again in the reactivation phase. Interestingly, velocity–as the only examined feature–significantly increases in dormant/end and then decreases if the relationship is reactivated.

Prior studies were focusing on single feature, this one offers a holistic view considering ten relational facets. Moreover, this is one of the few research studies exploring the changes of relational features adopting the life cycle perspective.