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Grounded in two primary theories such as (1) the triangular alignment model and (2) the technology–organization–environment framework, this paper aims to develop appropriate scales to measure the e-sourcing experience index (EEI).

The sample includes a total of 630 e-sourcing platform users in the US and India who have already utilized e-commerce platforms. Item response theory and factor analysis were used for the psychometric analysis. Measurement invariance was established between the Indian and US participants, indicating similar conceptualization of the items across the two cultures.

The study's results demonstrated that users have a better experience when online sourcing platforms provide adequate resources for making sourcing decisions, finding potential buyers and managing sourcing activities more efficiently. From the perspective of e-sourcing platforms, suppliers' performance and users' experiences can be improved when businesses address the concerns indicated in the five factors.

The study's objective was to develop the EEI in order to assess suppliers' experiences with e-sourcing platforms. Due to the diffusion of innovation theory (DOI), different stages of adaptation may cause varied experiences and relationships with buyers.

From a theoretical perspective, this study is one of the few to combine triangular alignment model (TAM) and technology–organization–environment (TOE) theories and to develop a reliable and valid scale (EEI) for user experiences with online sourcing platforms. Based on the previous scales, the EEI was found to be well in line with the established theories on traditional apparel sourcing, and, at the same time, considered the particulars of e-sourcing practices.

The purpose of this paper is to illustrate a unique opportunity to analyze the implications of two different approaches to develop and deploy a national public electronic procurement system.

The authors used multiple data collection methods. The data were collected from 2009 to 2013 from primary sources, studies, consulting work, seminars, official documents and the written press. The structure includes a teaching case, a teaching note and a discussion on the potential of case research as a powerful method to elicit valuable insights and knowledge creation.

The research shows that literature on E-Procurement and E-Government is oblivious to the disruptive character of this technology in public administration. This case allows the discussion on the consequences of this omission for the success of E-Procurement implementations. Lessons drawn are extendable to other E-Government ventures.

Despite multiple stakeholder views and a long and difficult debate among different technical platforms, the underlying problem remains unnoticed. The authors show that decisions on E-Procurement implementations should also consider organizational design and adoption of innovation strategies. By re-framing the problem, much of the complexity of the decision disappears.

Many nations around the world are developing or revamping their National Public E-Procurement Systems, this parsimonious account of a complex decision allows for the exploration and discussion of the various complexities surrounding technological innovations in public management and brings light to a critical and mostly ignore success factor associated with the choice on the implementation and operational model.

The purpose of this paper is to explore the multi-level ambidexterity challenges through the metaroutine lens. Further, while confronting the ambidexterity challenges, it is found that what is paradox at one level can be understood as tradeoffs at another level. This study uses an in-depth multi-level case study of Tata Motors, an Indian automotive giant highlighting the ambidexterity dynamics across strategic, business unit and functional levels to demonstrate that paradoxes at the strategic level are converted to manageable tradeoffs at the business unit/ operational level. Also, metaroutine-enabled ambidexterity explains a possible way through which multi-level ambidexterity can be promoted and managed within organizations.

This study uses a case-based methodology (Eisenhardt, 1989) similar to the approach of Adler et al. (1999). The field research consisted of in-depth interviews, which focus on gathering information from the key involved members in the field, thus enabling us to understand how multi-level ambidexterity is promoted within Tata Motors. A semi-structured interview guide was used to collect data for this study.

The metaroutine lens offers an alternative route to explain the multi-level ambidexterity dynamics at Tata Motors. The ambidexterity questions at different levels in Tata Motors seem to be a mixture of paradoxes and tradeoffs. However, a key trend emerges. At the strategic and business unit level, the firm wanted to exploit their existing products and explore new customer segments. At the product level, the strategic and NPI core team wanted to best combine the customer centric explorations with exploitations resulting in cost savings. The ambidexterity questions at these two levels seem to be paradoxes. However, as the authors analyze the functional domains, it appears that each individual domain was working under increased constraints. Hence, the ambidexterity questions at the domain level seem to be a tradeoff based on the constraints faced by individual functional domains.

This study presents an in-depth multi-level case study of an Indian automotive giant, Tata Motors. The authors present the role of metaroutines in shaping the ambidexterity issues during the development of passenger vehicles. This study builds on the seminal work of Adler et al., 1999, and extends the discussion to the framing of the ambidexterity question as a paradox and/or a tradeoff. The core argument of this paper is that balancing opposite polarities in business models is basically a paradoxical issue in the exploitation/ exploration relationship.

The purpose of this paper is to adopt a three-stage cloud-based management system for optimizing greenhouse gases (GHG) emission and marketing decisions with supplier selection and product family design in a multi-level supply chain with multiple suppliers, one single manufacturer and multiple retailers.

The manufacturer purchases optional components of a certain functionality from his alternative suppliers and customizes a set of platform products for retailers in different independent market segments. To tackle the studied problem, a hierarchical analytical target cascading (ATC) model is proposed, Jaya algorithm is applied and supplier selection and product family design are implemented in its encoding procedure.

A case study is used to verify the effectiveness of the ATC model in solving the optimization problem and the corresponding algorithm. It has shown that the ATC model can not only obtain close optimization results as a central optimization method but also maintain the autonomous decision rights of different supply chain members.

This paper first develops a three-stage cloud-based management system to optimize GHG emission, marketing decisions, supplier selection and product family design in a multi-level supply chain. Then, the ATC model is proposed to obtain the close optimization results as central optimization method and also maintain the autonomous decision rights of different supply chain members.

Rockwell Automation's Allen-Bradley division was considering how to deal with the threat posed by national distributors in the maintenance, repair, and overhaul (MRO) business for its industrial automation products. National distributors were consolidating the MRO distribution channel, offering national account customers an integrated multichannel solution for their MRO needs. Allen-Bradley had traditionally served its customers through high-touch, high-value-added local distributors, but this channel was inadequate for the demands of large MRO customers. An effort by Allen-Bradley and other manufacturers to create an industry-wide electronic sourcing consortium called SourceAlliance.com had failed. Now the company had to choose between redesigning its traditional channel by creating a virtual network of local distributors, striking an alliance with a national distributor, or withdrawing from the MRO market. It had to contend with difficult channel conflict issues in choosing a channel strategy.

To analyze the competitive strategy of a company serving the MRO market.

The purpose of this paper is to explore the multi-faceted role of metaroutines in dealing with nested ambidexterity challenges experienced during new product introductions (NPIs) at Tata Motors, an Indian automotive giant.

This study utilizes an in-depth multi-level case study highlighting the ambidexterity dynamics across strategic, business unit and functional levels.

The authors visualize the NPI system found in the firm, including the interactions between structure, process and governance, as a metaroutine. Based on this visualization, the authors argue that certain ostensive (like voice of customer, commonality) and performative (role of leadership and creative recombination) aspects of the metaroutine aid exploratory and exploitative learning across levels at Tata Motors. Further, the authors argue that the role of embedded NPI metaroutine aspects in promoting multi-level ambidexterity offers a distinct form when compared with other academically established forms of structural, contextual and temporal ambidexterity.

This study focuses on the aspects of the NPI metaroutine that enable ambidexterity within the studied firm. The authors argue that apart from the structural, temporal and contextual mechanisms, managers also need to focus on the nuances of NPI metaroutines and their potential to promote ambidexterity across levels.

The authors visualize the interactions between the process, structure and governance mechanisms, related to NPI, as a metaroutine. The authors argue that metaroutine enabled approaches to ambidexterity offer a distinct form when compared with other academically established forms of structural, contextual and temporal ambidexterity. Also, metaroutine enabled ambidexterity explains a possible way through which multi-level ambidexterity can be promoted and managed within organizations.

Currently, automotive original equipment manufacturers (OEMs) aim at developing Internet‐based methods to redesign their relationships with the suppliers. The majority of the manufacturers believe this to be a possibility to improve the relationships to their suppliers, especially regarding transparent cost‐structures. Suppliers on the other hand are very skeptical about methods in this area. Their fears of rising price pressure and potential losses of know‐how and competitive advantages are high. This article examines how strategic sourcing can be supported by Internet‐based methods. Thus, it tries to answer the question how the relationship between OEMs and suppliers will develop regarding the sourcing of complex material: will the Internet‐based relationships enhance collaboration or increase competition? An empirical study within the German automotive industry shows that the views of suppliers and OEMs differ substantially regarding the benefits and risks of an Internet‐based support of strategic sourcing. Hence, it seems that non‐technological problems are the main obstacles in the transition of these methods. It is evident that suppliers generally fear increased transparency within their structures in many different areas.

The aim of this study is to discuss the relationship between e‐procurement and supply chain performance.

Both interviews with practicing managers and an empirical study were conducted in the current study. Interviews with four practicing managers were conducted to gather the practical insights of the theoretical framework. Empirical data were collected from 108 Taiwanese enterprises.

The paper found that partner relationships, information sharing, and supply chain integration can represent the processes through which e‐procurement contributes to supply chain performance. Supply chain integration has the highest standardized total effect on supply chain performance.

Future studies could more systematically analyze the relationships among e‐procurement, supply chain integration and supply chain performance. Cross‐level analysis is also worthy of investigation when considering the influence of technology‐usage characteristics.

Compared to partner relationships and information sharing, supply chain integration has more influences on supply chain performance. Therefore, this study suggests that a joint‐learning practice can be implemented for properly managing supply chains (e.g. know‐how collaboration, mutual competency creation).

This paper contributes to the literature by proposing and testing the influences of partner relationships, information sharing, and supply chain integration. This allows a strategic viewpoint when implementing e‐procurement systems intended to improve supply chain performance.

The increasing global competition, worldwide economic and political uncertainities, and continuously changing dynamics in business environment require companies act differently and differentiate via smart strategies in order to have sustainable operations, growth, and profitability. Therefore, firms should be more agile, creative, and adaptive in planning and strategizing their mid- to long-term business objectives.

In that regard, for the last decade globally many firms across all industries seek opportunities to utilize benefits of digitalization. Lately, COVID-19 has also accelerated companies' efforts and investments in digital platforms.

Today, supply chain and procurement functions are expected to have a strategic role for organizations contributing to management decisions. The digital transformation in procurement is promising to enhance and lean the total workflow of operations. Data analytics, artificial intelligence, robotics, and other emerging digital technologies are all highly powerful tools supporting strategic supply and supplier management, providing predictability for demand planning as well as value-based negotiation power to buyers.

On the other hand, there are still challenges and conflicts throughout this transformation process. Level of technological maturity, infrastructure and investment decisions, expertise and competency of procurement professionals, cultural adaptation, and compliance of related stakeholders are some of the key barriers that are addressed with a unique model in this chapter.

Digital era offers a lot of advantages to firms to improve their procurement facilities and practices while it may still take time both for the technologies to fully evolve and also for companies to adapt and embrace digitalization on their benefit.

This study aims to investigate digitalization as a performance driver in supply chains, especially the role of data analytics in the digitalization of procurement. The study investigates how digital procurement capabilities are linked to data analytics capabilities and supply chain operational performance and how this links to business success.

Using operational and dynamic capabilities as foundations for data analytics capabilities, this paper studied the digital procurement capabilities and proposed the conceptual model and hypotheses for empirical testing. The collected industry survey data and structural equation method are then applied to test the hypotheses.

The study confirms positive and significant relationships among digital procurement capabilities, data analytics capabilities and supply chain performance. Digital procurement capabilities mediate the positive relationship between external data analytics capabilities and supply chain performance.

This study has some limitations that should be addressed. The empirical study was based on survey data from a questionnaire that was probably challenging for some respondent companies with low levels of digital procurement and data analytics. Also, it is necessary to adopt secondary data to measure business performance in future studies which reduces the effect of subjective bias.

From the managerial point of view, the findings highlight the importance of gaining knowledge from gathered data and digitalized processes. Managers must focus on data utilization capabilities to improve the operational performance expected from the digitalization of supply chain activities. In addition, managers need to consider exploiting of data through new creative approaches as part of standardized operations.

The present study contributes to existing knowledge by investigating the mediating role of data analytics capabilities between the digitalization of procurement and supply chain performance. The findings support a positive relationship between the data analytics capabilities and supply chain performance in digital upstream supply chain procurement processes. The present study also clarifies the impact and role of data analytics capabilities in digital supply chain development and success.