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The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

The term ‘strategy’ is one of the most frequently used terms in business, and its application in marketing is particularly common. Company strategy, market strategy, marketing strategy, sales strategy, promotion strategy, distribution strategy, low pricing strategy – it would take a long time to list all of them. Although this term is so commonly in use, its definition is not as straightforward and it can be interpreted in different ways. In comparison with tactical decisions, strategy is much more significant for an organisation as it brings long-lasting consequences. It is implemented by higher level managers on a regular basis, and it is based on external, often subjective information, so decisions – especially at the time they are made – are difficult to evaluate.

Taking into consideration the fact that strategy refers to a long-term rather than a short-term period, strategic decisions serve as the basis for undertaking operational activities. However, marketing refers to the market and the competition. It is possible to claim that marketing strategy is trying to find an answer to the question to which path an organisation should follow in order to achieve its goals and objectives. If, for example, a company has a goal to generate a profit of PLN 1 million by selling 100,000 pieces of a product, the market strategy should answer at least the following two questions:

1. Who will be our target group, for example, who will purchase the 100,000 pieces of the product?

2. Why is it us from whom a potential buyer should purchase the product?

Who will be our target group, for example, who will purchase the 100,000 pieces of the product?

Why is it us from whom a potential buyer should purchase the product?

The target market will be defined if a reply to the first question is provided. The second question identifies the foundations of competitive advantage. These two issues, that is, target market and competitive advantage are the strategic marketing issues. You cannot change your target group unexpectedly while competitive advantage is the basis for changing decisions regarding prices, promotions and sales.

This chapter describes the measures of marketing activities which refer to strategic aspects and testify a company’s market position – the measures of the performance of target groups and competitive advantage. Readers’ attention should be also focused on the indices that are less popular in Poland and, therefore, may be underestimated. It seems that some of them, for example, the index of marketing resources allocation and the marketing risk index, provide a lot of valuable information and, at the same time, make it possible to show the value of marketing investments. Their wider use in the near future is only a matter of time.

Employing the notion of balanced growth postulated by competence-based literature, the present study submits that a firm’s growth strategy can be understood as its ability to manage the interplay of building and leveraging existing competence within the business context. The synergistic effects resulting from the creation of a self-reinforcing cycle of competence building and leveraging initiatives then drive the achievement of superior performance. To examine the validity and usefulness of this conception, we conduct a systematic investigation on the strategy-performance link of contract electronics manufacturers based in Taiwan, who have emerged as the competitive global supply base in electronics and computer industries. Empirical results based on a panel of business-level operating data show that while building product-related competence is essential to the contract manufacturer’s achievement of higher profitability, leveraging competence between subcontracting services and own-brand business will significantly enhance both profitability and sale growth. The implications of formulating a sustainable growth strategy for contract manufacturers in the context of horizontally configured industries, and suggestions for future research endeavors on competence-based management are discussed.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

Traditionally, firms have been dependent on internal sources such as their own employees – and up to a certain extent, on some external sources, their customers – for innovation. However, in the current scenario of technological dynamism, firms are exploring multiple sources to generate ideas for innovation. Therefore, there is a need to understand the relative effect of various sources of innovations on a firm’s performance.

We offer a conceptual framework where we identify six distinct sources of innovations – firm, customers, external network, competition, macro-environment, and technology and how they create value for focal firms especially their brand equity. We introduce a taxonomy of various costs and benefits related to innovations. We then argue using our proposed taxonomy to understand the relative strengths of various sources of innovation affecting a firm’s brand equity.

We discuss and compare the relative effects of these sources of innovations on a firm’s brand equity by rank-ordering the sources. The customers and the technology as a source of innovation have the maximum impact on the firm’s brand equity followed by the marginal impact of macro-environment and external network of a firm. The firm itself has a moderate impact on its brand equity, while competition has the minimal impact. Further, we also discuss how the relationship is moderated by different innovation characteristics (nature and type of innovations).

The main practical implication is to create awareness among managers about various costs and benefits of the proposed six sources of innovations and their effects on brand equity. Managers would be able to prioritize their sources of innovation based on firms’ current needs, and whether to focus on lower costs or building higher brand equity in the scarce resource environment.

We offer a comprehensive list of six sources of innovation, build a conceptual framework wherein we discuss the relative strengths of these sources affecting brand equity.

This study explores the relationship between brand image and brand equity in the context of sports sponsorship. Keller's (1993, 2003) customer-based brand equity models are the conceptual inspiration for the research, with Faircloth, Capella, and Alford's (2001) conceptual model – adapted from the work of Aaker (1991) and Keller (1993) – the primary conceptual model. The study focuses on the sponsorship relationship between the New Zealand All Blacks and their major sponsor and co-branding partner, adidas. The sporting context for the study was the 2003 Rugby World Cup held in Australia. Data were collected from two independent samples of 200 respondents, utilizing simple random sampling procedures. A bivariate correlation analysis was undertaken to test whether there was any correlation between changes in adidas' brand image and adidas' brand equity as a result of the All Blacks' performance in the 2003 Rugby World Cup. Results support the view that Keller (1993, 2003) proposes that brand image is antecedent to the brand equity construct. Results are also consistent with the findings of Faircloth et al. (2001) that brand image directly impacts brand equity.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.