Choosing Startups as Suppliers: A Supplier Selection Archetypes Typology

Recent research demonstrates the value of examining collaborations between established organizations and startups via the lens of the buyer–supplier relationship. However, enterprises must first find, analyze, and select potential startups as suppliers before they can exploit startups' resources and talents in a buyer–supplier relationship. Due to the fact that earlier research has focused exclusively on how purchasing firms select established firms as suppliers, it is unknown which processes, tools, or organizational approaches purchasing organizations employ when selecting startup firms as suppliers. These suppliers are qualitatively distinct in that they lack organizational structure, financial resources, and operational competencies, offering a substantial risk to purchasing organizations. This inductive, qualitative case study research elicits data from twenty established purchasing firms and examines how they choose startup suppliers. We begin by identifying five design motifs that differentiate purchasing firms' selection procedures. We create a typology of three supplier selection paradigms based on these themes. The findings suggest that enterprises who are ready and able to adjust their selection technique to startups should exhibit a higher level of selection performance, implying a greater likelihood of selecting acceptable startups as suppliers. The findings contribute to the literature on supplier selection and shed light on the burgeoning sector of new venture suppliers.

Strategic Supplier Selection's Effects on Buyer Competitive Performance in Matching Domains: Is Supplier Integration Effective at Mediating Relationships?

The purpose of this research is to determine whether strategic supplier selection based on supplier capability in new product development, supplier quality, and supplier cost directly or indirectly improves the buyer's competitive performance capabilities in the matched domains of buyer product innovation, buyer quality, and buyer competitive pricing. The resource-based view of the firm is used to frame the direct effects of strategic supplier selection, arguing that a buyer's ability to select a supplier with resources and expertise in a specified domain should improve the buyer's performance capability in the "matched" domain (but not necessarily in "unmatched" domains). Two supplier integration techniques are considered as potential mediators, assuming indirect pathways. The research hypotheses examine both direct and indirect impacts for each of the matched domains, but do not assume cross-domain interactions. For instance, supplier selection for new product development capability should have an effect on buyer product innovation (in matched domains), but not always on buyer quality capability (unmatched domains). While the direct impacts of strategic supplier selection on buyer performance are supported in each matched domain, the indirect effects via supplier integration are not substantial for the matched domains. Strategic supplier selection is identified as a viable source of competitive advantage in the resource-based view. By contrast, supplier development and supplier partnership do not provide additional performance benefits in a particular domain over and beyond those obtained from strategic supplier selection in that domain; rather, it is the type of the resources selected that determines competitive advantage.

The Effects of Buyers' Attitudes Toward Supplier Diversity on Their Spending with Ethnic Minority Businesses

This study examines characteristics that may influence buyers' desire to obtain goods and services from ethnic minority enterprises using data from 277 buyers employed at large buying organizations (LPOs) in the United States and the United Kingdom (EMBs). The literature on social capital is utilized to construct hypotheses about the cognitive, structural, and relational factors that may influence decisions to purchase from minority enterprises. Following that, current discrimination theory is used to deduce how buyers' views about supplier diversity affect the effects of social capital on their buying operations with EMBs. Multiple regression research indicates that in both the United States and the United Kingdom, buyers' perceived positive social capital has a direct, substantial association with their spending with EMBs. Additionally, the findings indicate that in both nations, purchasers' attitudes toward supplier diversity act as a moderator of the connection. Interestingly, despite the fact that the United States pioneered the concept of supplier variety, our study reveals that UK LPO buyers spend more with their EMBs. This research demonstrates how LPOs' strategic corporate social responsibility initiatives may be influenced by their buyers' social relationships with EMBs and their views about supplier diversity, based on these findings.

The Retail Industry’s Impact of Artificial Intelligence Chatbots and Augmented-Reality Applications: An examination of trust and satisfaction of the Youth Vietnamese online shopping

As competition in the retail industry heats up, businesses are increasingly resorting to kinds of artificial intelligence (AI) to differentiate themselves. E-commerce firms are combining technologies such as AI chatbots and augmented reality applications (ARA), which have established themselves as prominent customer service solutions in the practitioner area. However, little is known about consumers’ views and participation with developing technologies when they are implemented in a retail setting. A theory-based study model was developed to elucidate the motivational factors required for effective decision-making in this environment. The proposed model was supported by empirical testing conducted as a field study.

Reassessing Supply Chain Fit: A Look at Moderating Factors

Numerous studies have stressed the critical nature of aligning a product's attributes to its supply chain design (i.e., supply chain fit). Fisher (1997) developed the concept of supply chain fit, stating that enterprises must evaluate the nature of their products' demand before constructing a supply chain. I extend Fisher's (1997) paradigm by providing a more thorough understanding of when firms should invest in supply chain fit. I argue that assuming that perfect supply chain fit always results in enhanced financial performance is oversimplistic, as the benefits of perfect supply chain fit may be outweighed by the resources expended to attain it. To conduct this research, I will use archival and survey data to examine the moderating effects of six dimensions of environmental uncertainty on the relationship between supply chain fit and financial performance (e.g., munificence, market dynamism, technological dynamism, technical complexity, product diversity, and geographic dispersion).

A Time-Series Analysis of Motor Carrier Safety Behaviors

Multiple stakeholders are impacted by motor carrier operating safety, including truck drivers, motor carriers, insurance companies, shippers, and the general public. I develop and test theory in this article about motor carriers' longitudinal performance on three categories of safety behaviors associated with accident rates—Unsafe Driving, Hours-of-Service Compliance, and Vehicle Maintenance—as tracked by the Federal Motor Carrier Safety Administration as part of the Compliance, Safety, and Accountability (CSA) program. I specifically draw on fundamental concepts from sociological agency theory and resource dependency theory to develop a middle-range theory that generates previously untested hypotheses about carriers' longitudinal safety performance for these classes of safety behaviors following the CSA program's inception. The hypotheses are investigated by fitting a series of multivariate latent curve models to four years of panel data for 484 big for-hire vehicle carriers operating in the United States. The empirical findings confirm the theoretical expectations and persist during robustness testing. These findings have significant consequences for academics, motor carrier executives, purchasers of motor carrier transportation services, and policymakers.

Theoretical research in key performance indicators measurement of logistics service providers

The output of a planning process is a set of assigned individual tasks to resources at a certain point in time. This paper focuses on the performance parameters and objectives that play a role in the planning process. In order to gain insight into the factors which play a role in designing new software systems for Logistical Service Providers (LSPs). Therefore, we study the area of Key Performance Indicators (KPI). Typically, KPIs are used in a post-ante context: to evaluate a company’s past performance. We reason that KPIs should be utilized in the planning phase as well. The paper describes the extended literature survey that we conducted and introduces a novel framework that captures the dynamics of competing KPIs by positioning them in the practical context of an LSP. This framework could be a valuable input into the design of a future generation of information systems capable of incorporating the business dynamics of today’s LSPs.

Digital information's challenges and potential at the nexus of Big Data Analytics and supply chain management

Despite the breadth of supply chain management (SCM) research, little attention has been paid to the application of Big Data Analytics to maximize the utilization of information in a supply chain. The objective of this article is to contribute to the development of SCM theory by examining the potential effects of Big Data Analytics on information utilization in a business and supply chain setting. Because it is critical for supply chain firms to have access to current, accurate, and useful data, the exploratory research will shed light on the opportunities and problems associated with the implementation of Big Data Analytics in SCM. While management is increasingly focusing on Big Data Analytics, actual research on the subject is still sparse. Due of the scarcity of relevant content at the nexus of Big Data Analytics and Supply Chain Management, the authors employ the Delphi research technique. The given Delphi survey findings complement to existing knowledge by identifying 43 opportunities and problems associated with the emergence of Big Data Analytics from a corporate and supply chain perspective. These structures provide the research community with a starting point for tailoring future research at the nexus of Big Data Analytics and SCM. The research contributes to the current body of knowledge by examining possibilities and challenges at the corporate and supply chain level with a particular emphasis on the consequences imposed by Big Data Analytics.