The Subscription Boxes Making Craft Beer More Accessible

in aquilani et al., 2015 market segmentation. According to Betancur et al., (2020), the causes and surroundings connected with different events including joyful, casual, and formal ones have a major impact on the beer choice. Thus, depending on the locus of consumption which can be on-trade (consumed on the premises, e.g., pubs, restaurants) or off-trade (bought to be consumed elsewhere, e.g., retail stores, online) a market segmentation can

be done. In their 2016 study, Gómez-Corona et al. noted this tendency and split their respondents into private consumers, who drank beer at home and within the company of family members, and social consumers, who predominantly consumed beer in night clubs. Gómez-Corona et al. (2016) also employed locus of consumption to investigate an extra dimension based on several forms of craving, including functional (such as those at the

beach) and product (at home or in bars) cravings. Product offers, marketing communication, and customer involvement can be strategically interacted to fit any consumer segment. For example, appreciating various contexts of craving, such those seen in laid-back settings like beaches, can help to produce beers that fit these pragmatic needs. Maybe the breweries

Should think about lighter more reviving

or themed beer products. Investigating further how different demographic groups react to different qualities could provide more complex understanding. When done correctly, market segmentation can have major advantages including improved knowledge of consumer variances and more thorough inquiry. Saunders et al. (2000) define quantitative research as a

paradigm of study whereby numerical data is used to quantify or measure events and produce outcomes. Based on Bryma,Another discovery is that, as small enterprises, craft breweries often have inferior energy efficiency when compared to bigger breweries (Sturm, Hugenschmidt, et al This results from several elements, including load factors, economies of

scale, and current manufacturing techniques. Smaller breweries could also be reluctant to commit long-term funds in order to lower the market risks. Furthermore, since they do not create for the mass market, "small craft breweries may usually offer their beer at premium costs. Customers are ready to pay more for locally produced, historically brewed high-quality

Beer as well as others

As such, it has not been absolutely necessary to maximize the manufacturing process (Sturm, Hugenschmidt, et al. 2013, 399). Nonetheless, we think that when it comes to make changes, small brewers are more adaptable and flexible than bigger ones. This is true because many small brewers have less resources and personal capacity than their bigger competitors. Craft

breweries could thus more readily be driven towards sustainability since using less energy can help them to earn more money. The quantitative research design in n & Bell (2015) and Saunders et al. (2000) involves systematic and empirical analysis of observable events using statistical or mathematical approaches. The highest efficacy in discriminating patterns,

correlations, and trends inside variables (Rana et al., 2020) comes from applying the quantitative research methodology. For several reasons, this study would profit more from the application of the quantitative research design than from the qualitative research approach. First of all, quantitative methods enable one to get a numerical estimate of customer

Preferences and points of view

Finding trends in customer behavior or patterns depends on this extremely required talent. Second, the quantitative research method makes it feasible to perform statistical analysis, which can assist in the identification of the nature of the relationships among several variables. The link that exists between consumer tastes and the brands they choose is one

instance of this. Furthermore used in quantitative research techniques are systematic and standardised processes for the data collecting and processing (Bryman & Bell, 2015; Sale et al., 2002; Saunders et al., 2000). Standardized methods reduce the possibility of researcher bias—that is, the inclination of a researcher to unconsciously influence the outcomes or

interpretation of a study depending on their own opinions, expectations, or past experiences (Norris, 1997). Standardised approaches prevent the possibility of researcher bias since they thus limit the potential for interpretation. In this specific study, it was imperative to avoid researcher bias so as to ensure proper measurement and interpretation of customer

Conclusion

preferences. Should they misinterpret the preferences of end users of their products, breweries, distributors, or marketers who could make use of the results of this study run the danger of making bad decisions. Inaccurate market segmentation resulting from it could have effects on targeted marketing plans and product development. Moreover, this study is an explanatory quantitative one. The main goal of an explanatory research is to better grasp the

problem under investigation, not to establish causality and effect. It offers a justification for the trends relating to the topic under investigation (Al-Ababneh, 2020). Conducted in order to reach this goal, this study which might be categorized as an explanatory quantitative studybecause of its objective of clearly identifying the elements influencing customer

preferences for craft beer.Research design (see summary in Table 3.1), a thorough review of the literature search and data collecting strategies, a description of the studyvariables, and an overview of the data analysis techniques applied. Furthermore emphasized are the ethical issues noticed during the research.petitive benefit within the relevant segments.