This research aims to understand how academic articles stimulate knowledge progress by addressing two questions: Does the level of contribution vary between different methods of research (e.g., conceptual, theoretical, and empirical)? How do we assess the potential of scholarly articles to impact and further innovate the field?

Webpage cookies collect and authorize access to users’ online footprints and regulate the data authorization for access, sharing, and usage. Data authorization, which is built based on, but exceeding cookies protocol, enables personalized recommendations under the framework of data-driven content-user matching in a way against customer privacy invasiveness and data breaches. However, gaps exist in how users’ desire for a personalized experience and the site’s perceived ethics contribute to the site-trust and cookies acceptance of categories at each type of site and how businesses’ reward incentives and cookie-based controls may intensify the willingness to contribute to the user data donation continuously.

Digitalization is a prevailing force in the marketplace and unquestionably a key topic on the strategic agenda of many firms (e.g., Balsmeier & Woerter, 2019). Alongside, research into managing digitalization has also strongly increased in recent years (Svahn, Matthiasen, & Lindgren, 2017; Ritter & Pedersen, 2020). Hofacker, Pillai, Golgeci & Gligor (2020, p. 1162) claim “Artificial intelligence, blockchain, data security/integrity, Internet of Things, and big data analytics are just some possible digital trends that can shape how B2B relationships are understood and managed”. Despite this increasing interest, the number of works within the scope of business-to-business (B2B) exchanges is still limited (Obal & Lancioni, 2013; Pagani & Pardo, 2017; Gomes et al., 2022; Matt, Pedrini, Bonfanti & Orzes, 2023) and there any many unexplored or underexplored phenomena.

Pamperpop is a new online platform based in Indonesia that connects beauty and personal care service providers to the end customers. The business idea was triggered by Zomato, an online platform for restaurant search and discovery service. There are some competitors in the market who provides services alike Pamperpop, but they are all new players who still building their customer base. This condition puts Pamperpop in a fierce competition and forces the company to be innovative in penetrating the market. Considering the nature of this business, there are two markets to be penetrated by the company. First market is the service providers who will become the tenant, and second market is the end customers who will become the user. Pamperpop has done some marketing activities to enter both markets; however the results were far from expectation. The acquisition rate did not meet target from management. Pamperpop really need to revisit their marketing strategy in order to stay competitive in the market. This article describes the analysis on the business issues faced by Pamperpop especially problems in the market penetration. Author identified the root issues by using Porter’s 5 Forces, Business Model Canvas, S-T-P analysis, and Marketing Mix. Authors found that management focus on the product development rather than identifying customer needs when building this business. This created some gaps in the marketing strategy to penetrate the market. The New Wave Marketing framework is chosen to formulate the new marketing strategy since it is suitable for technology and internet based business model that has horizontal communication in nature. The New Wave Marketing approach refines the existing business model to introduce clear positioning and strong differentiation in the market. The solution’s set aims to achieve Low Budget and High Impact marketing techniques with the combination of Above-The-Line and Below-The-Line approach.

The major paradox in research in marketing: Can the researcher construct models that capture firm heterogeneities and achieve accurate prediction of outcomes for individual cases that also are generalizable across all the cases in the sample? This study presents a way forward for solving the major paradox. The study identifies research advances in theory and analytics that contribute successfully to the primary need to fill to achieve scientific legitimacy: Configurations that include accurate description, explanation, and prediction (i.e., predicting outcomes accurately of cases in samples separate from the samples of cases used to construct models having high fit validity.) The solution here includes philosophical, theoretical, and operational shifts away from variable-based modeling and null hypothesis statistical testing (NHST) to case-based modeling and somewhat precise outcome testing (SPOT). The study here provides examples of research contributing to knowledge and theory that advance prediction and control in business-to-business contexts. Shifting beyond linear model construction and symmetric tests (i.e., multiple regression analysis (MRA) and structural equation modeling (SEM)) and embracing complexity theory and asymmetric tests (i.e., constructing and testing algorithms by “computing with words,” Zadeh, (1996, 2010)) includes taking necessary steps away from examining “net effects” of variables to useful screening modeling of case configurations. Researchers embracing this shift in marketing benefit from recognizing that the current dominant logic of performing null hypothesis testing (NHST via MRA and SEM) is “corrupt research” (Hubbard, 2015) and from recognizing that predicting by algorithms via somewhat precise outcome testing (SPOT) advances business-to-business research toward achieving scientific legitimacy.

This contribution focuses on fitting between heuristic rules and the task environment in business to business market. The subject is about evidence-based business decision-making process in the business actors‟ perspective. The empirical setting of fashion business to business markets is considered, focusing on adaptive behavior situated in the interaction processes in customer-supplier relationships emerging from empirical researches. The paper considers two key aspects of the process: (1) the origin and diffusion of the heuristic rules adopted by the actors (adoption) and (2) the fields in which the rules can be used (scope) are discussed. The central research questions are: How heuristics are adopted and diffused in the fashion business to business environment (adoption)? How wide is the context in which the heuristic rule is applied by the actors (scope)? Fashion business to business markets is our setting of analysis. First of all we have to define what are heuristics. Studies of decision-making processes generally divide them into two, mutually exclusive types: rational decision making versus rule-based decision making (March 1994). In the case of rational decision making the approach is to evaluate the consequences of any decision in terms of either pure (maximizing) or limited rationality (satisficing). In rational decision making, consequential choices are adopted, hence an evaluation of preferences and expectations is necessary and decisive to the final outcome. Instead, in rule-based decision making, what counts most is following the rules, the aim being to satisfy and/or define an identity. In rule-based decision making, rules deemed appropriate are adopted, and what then counts are the rules and the identity, which form the basis for taking well-thought-out actions. Rationality requires less „specific‟ knowledge, since it relies on abstract rules. In this approach, following the rules may instead involve understanding them in relation to the specific context in which they are to be applied. The relations between heuristics and interaction in business networks provide a means to study other aspects of the evolution of the relationship between enterprise and business market environment (Artinger et al. 2015; Guercini et al. 2014, 2015). In fact, the network of relationships the actors adopt images of the relationships to be cultivated with the precise aim of formulating an effective representation of the market, enable other phenomena to be examined, not so much in their qualitative aspects, but rather as regards their importance as perceived by business decision-makers. In light of these relations between heuristics and setting, the essential properties of heuristics that we propose to examine herein are: (1) specificity, intended as the field of application and setting in which any heuristic rule is generated and routinely applied; (2) convergence, which concerns how widespread, at least in appearance, any given heuristic rule is amongst actors in a given market setting (Guercini 2012). In other terms, the heuristics of entrepreneurial marketing can be considered specific to this particular setting, in that they concern the degrees to which such rules are generated, are successful, and are confined to the specific setting or context. Looking more closely at the two above-mentioned properties, specificity is high when, for instance, a heuristic refers to a specific, circumscribed matter (for example assessing the opportune moment to purchase certain semi-finished goods) and finds no application in any other setting. Conversely, a rule‟s degree of specificity is low when its field of application is broad: a rule may, since its inception, be applicable to many different fields, or it may be initially applicable only to a limited range of decisions, but subsequently find fruitful application in other, broader matters (Guercini et al. 2014). The degree of convergence instead regards the frequency with which a given heuristic rule is adopted within a population, a community or, in our case, by entrepreneurs. Such adoption may only be apparent, in the sense that what seems to be a single rule may actually represent various, subtly different rules for each individual, given the supremely personal, individual nature of fine mental processes. Evaluating the degree of convergence of a given heuristic within a population obviously involves measuring its dissemination in terms that are recognized as such by the researcher. Convergence is high for rules adopted by everyone, or at least by a large segment of the population in question. Other heuristic rules are instead developed by individuals in forming their personal judgments and seem to be unique to such individuals, in that they do not arise in others. This implies that heuristic rules may be the source of a relative advantage for the entrepreneur, in so far as the heuristic in question proves itself successful, that is, an element that determines a good choice when other methods are ineffective or may even produce negative effects. Specificity and convergence are thus general properties of the heuristics adopted by entrepreneurial marketers, and are strongly tied to the interpersonal relationships and consequent interactions within business decision-makers‟ personal contact networks (Guercini et al. 2015). Heuristic procedures are easily detectable in the descriptions of enterprise top management of the processes they utilize in assessing possibilities and forming judgments. Some of these procedures are highly abstract and applicable to various different settings, for instance, regarding problems typically facing firms as well as purchase decision-makers. In the following we shall briefly present some of the heuristics encountered in our research; a more detailed description and more rigorous modeling of their characteristics will be addressed in future work. Let us consider now a fashion business to business settings, and more precisely the situation in which the decision-maker of a fashion firm is tasked with formulating a judgment regarding the best choice of colors to keep up with the fashion trends of coming seasons. From interviews with representatives of styling divisions, what repeatedly emerged was their conviction that “strong” colors periodically and forcefully come back in fashion. Some even went so far as to specify the duration of this cycle: seven years – that is, the same as the number of strong colors –, which also turns out to be coherent with long-standing observations on the limits of human cognitive function (Miller 1956). No clearly defined explanation was offered of the reasons for, or origins of, this rule, although some hypotheses were advanced: simply that a sort of “law” was first noticed and then became consolidated as its predictions were repeatedly verified over time. A second example is that of the textile firm entrepreneurial marketer called on to provide a forecast of the fabrics that will be most widely utilized in the market over the next few seasons. From the marketer‟s perspective, the price of natural fibers is one element on which to base any judgment regarding future fabric usage trends. Clearly, there are technical time constraints on the purchasing of fibers for spinning, which must naturally precede the sale of the fabric, and may even take place already in the stage of drafting the fabric sample book. Thus, a specific assessment rule is applied: those fibers whose price increases during certain periods of the year are deemed to be those that will be in most widespread use the following season. However, for some years now this rule has begun to seem less reliable than in the past. Workers in the sector speak of greater complexity in the wool market, where supply factors, such as international manufacturers‟ policy of stepping up fiber tops production, have had the effect of upsetting traditional market dynamics. The heuristic rules in these examples can be regarded in the perspective of the attributes they present, in particular, their “specificity” (or field of application) and their “convergence” (or degree of dissemination). A rule that is highly specific to a certain application setting looses much of its value when applied to judgments other than the one for which it has been developed. On the other hand, a rule that is in widespread use in many firms can hardly become a distinctive resource for entrepreneurial marketers. The widespread dissemination of a given heuristic rule amongst the rules “in stock” or the “adaptive toolbox” of firms may influence its effectiveness. Indeed, the fact that a rule is shared by many may justify its adoption in light of the validity that the decision-makers seem to attribute it, even if it is less probable that its use impart a distinctive competitive advantage. The examples of heuristic processes presented in the foregoing seem to enjoy different degrees of specificity and convergence. The association of certain heuristics to specific settings takes on the significance attributed to them by Simon (1979), as rules bound by the task environment and not clearly referable to relatively abstract mechanisms or endowed with autonomy. Mechanisms applicable to less specific settings are instead referable to the heuristics described by Tversky and Kahneman (1974), including representativeness, availability and adjustment/anchoring, identified in relation to the possible distortions and errors associated to them. The heuristics modeled by “building blocks” by Gigerenzer et al. are seemingly cannot be captured by a few categories, given the variety of formal models identified. Briefly, these include (1) recognition heuristic; (2) fluency heuristic; (3) take-the-best; (4) tallying; (5) satisficing; (6) 1/N equality heuristic; (7) default heuristic; (8) tit-for-tat; (9) imitate the majority; (10) imitate the successful; (11) hiatus heuristic; (12) fast and frugal trees; (13) mapping models; (14) averaging the judgment; (15) social circle; (16) moral behavior (Gigerenzer and Gaissmaier 2011, Gigerenzer and Brighton 2009). In the approach proposed by Gigerenzer and his “adaptive behavior and cognition program”, formal models are necessary to evaluate the real contribution of heuristics to cognition, decision-making and behavior. For details, refer to the publications of the adaptive-behavior-and-cognition program (Gigerenzer 2007; Todd and Gigerenzer 2012). Rule-based decision making implies the availability of rules to follow and consistency with an established identity as the driving factors in the decisionmaking process. If the rules satisfy an ecological rationality approach, are such rules then the result of a process of rules selection with which the decision makers are endowed innately or they are formed through a process of learning? And, if the latter is true, what are the characteristics of the decision-making process during the stage that the rules formation schemes are more open? And lastly, when the rules have already been defined, are they necessarily stable or can they be questioned and, if so, in what terms? These research questions are part of the future research stimulated by this first exploration based on case study research.

Although the role of Guanxi in the Chinese business to business (B2B) market as a form of relationship marketing has received increasing attention in recent years, few empirical studies have explicitly distinguished between Guanxi and relationship marketing. Westerners typically consider Guanxi as unethical, but foreign-invested enterprises (FIEs) may have some difficulty in fully practicing relationship marketing in China without considering the influence of Chinese culture. In this regard, this study is guided by the following research question: “In China, should foreign-invested enterprises (FIEs) adopt Guanxi instead of relationship marketing in the B2B market?” In this study, we first provide an overview of previous research on Guanxi, focusing on the fundamental differences between Guanxi and relationship marketing. We then provide an empirical analysis of the differential effects of Guanxi and relationship marketing on firm performance by investigating 295 FIEs in the Chinese B2B market. The results suggest that Guanxi and relationship marketing are not trade-off options in today’s Chinese market. Guanxi and relationship marketing have synergetic effects on firm performance, that is, they have differential effects based on the mode of market entry and the type of competitor. Guanxi is more likely to influence firm performance for collaboration based entry firms rather than entry without collaboration firms, whereas relationship marketing is more likely to influence firm performance when FIEs’ main competitors are foreign firms than when they are local firms.