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This paper deals with the decision making about the strategic alternatives for distributing a commodity – the bulk cement – characterised by an extremely high incidence of the transportation costs. It is based on the case of Italcementi Group (ITC), the largest European producer of cement, leader in Italy with a share higher than 30 per cent and growing abroad through acquisitions and foreign direct investment in Europe, North America, Middle East and North Africa. This paper shows a methodology to select the most suitable alternative between own account, hire and reward and long‐term partnership to distribute basic commodities, given the existing manufacturing base (facility locations are given). The methodology takes into account the context of the local markets and supply of logistic services and considers multiple performance criteria.

The purpose of this paper is to examine listed companies, grouped by sector, that for decades have shown a dividend growth. Referring to the food and beverage (F&B) industry, the authors have investigated the adoption of an open innovation model in order to fill a gap in the existing literature.

This paper uses a multi-method design linking qualitative and quantitative approaches. The quantitative study was planned in order to identify some US-listed companies, called Dividend Champions that have distributed consistently growing dividends for over 50 years and have beaten the markets. The qualitative study was designed to provide insight into the adoption or not of an open innovation model by the listed companies in the F&B industry in the US market that were selected by the quantitative analysis.

The research is based on an empirical analysis undertaken with 816 listed companies in US markets. In particular, the authors underline 20 companies that over the past 50 years have systematically increased dividend paid, and at the same time, have beaten the market (Standard & Poor’s 500). In all, 30 per cent of the selected companies belong to the consumer goods sector, and F&B companies represent 50 per cent of them. All of these companies (The Coca-Coca Company, Hormel Foods Corporation, and Lancaster Colony Corporation) implement an open innovation model.

To the authors’ knowledge, this is the first exploratory study based on value maximisation and open innovation. An open innovation model increases competitiveness and the durability of competitive advantage, which are main sources of value creation. The paper highlights evidence from the F&B industry, referred to as Dividend Champions, and the adoption of an open innovation model.

The purpose of this paper is to describe an investigation into collection and measurement of cost of quality, explaining how this information was presented and used for business improvement in a footwear company.

An action research methodology was adopted. The research involved: review of available COQ literature; identification of cost categories; adoption and trial of cost collection systems.

Quality costing can only be used as a management tool if the data presented is both accurate and valid. This is limited by availability of required information and necessary expertise and resources to gather and analyse such information. Careful development of the cost model and a transparent, agreed methodology for employing it is essential.

The methodology applied was appropriate, generating data to facilitate discussion and draw specific conclusions from. A perceived limitation is the single case approach; however, this can be enough to add to the body of knowledge.

Guidelines for quality cost collection and analysis are presented. The methodology developed is being used elsewhere within the same corporate group.

The paper describes how one company effectively used COQ to produce focused data for decision making. It demonstrates that COQ can focus efforts to improve business performance.

This paper aims to study the effects of knowledge acquisition on innovation performance and the moderating effects of human resource management (HRM), in terms of employee retention and HRM practices, on the above-mentioned relationship.

A sample of 129 firms operating in a wide array of sectors has been used to gather data through a standardized questionnaire for testing the hypotheses through ordinary least squares (OLS) regression models.

The results indicate that knowledge acquisition positively affects innovation performance and that HRM moderates the relationship between knowledge acquisition and innovation performance.

With the increasing proclivity towards engaging in open innovation, firms are likely to face some tensions and opportunities leading to a shift in the management of human resources. This starts from the assumption that the knowledge base of the firm resides in the people who work for the firm and that some HRM factors can influence innovation within firms. Despite this, there is a lack of research investigating the link between knowledge acquisition, HRM and innovation performance under the open innovation lens. This paper intends to fill this gap and nurture future research by assessing whether knowledge acquisition influences innovation performance and whether HRM moderates such a relationship.

The purpose of this paper is to investigate the relationship between capital structure and business process management (BPM) within ambidextrous firms. In particular, referring to the listed companies in the Mercato Telematico Azionario (MTA) and Mercato degli Investment Vehicles (MIV) markets with large- and mid-sized capitalization, divided into ambidextrous and non-ambidextrous companies, the authors examined the capital structure to fill a gap in the current literature.

This study uses a mixed-method sequential exploratory design. In particular, a qualitative study was conducted to identify some Italian-listed companies, called ambidextrous firms, which have implemented incremental (exploitative) and radical (explorative) innovations in an ambidexterity perspective of process management. A quantitative study was designed to provide insights into the different degrees of leverage of the listed companies selected by the qualitative analysis.

The research is based on an empirical analysis undertaken with 69 companies listed on Italian markets (starting from the MTA and MIV Italy 100 – large- and mid-sized capitalization). In particular, the authors highlight 11 companies that, based on the literature, can be defined as ambidextrous organizations. These firms, in each year analyzed (2014, 2015, and 2016), have more leverage than non-ambidextrous ones. Considering that firms today need to constantly revisit their portfolio of debt and equity, ambidextrous organizations could evaluate the largest debt available in order to implement new BPM tools.

To the authors’ knowledge, this is the first exploratory study based on capital structure and the simultaneous exploration and exploitation of knowledge (ambidexterity) that also is informed by a BPM perspective. The paper presents evidence from Italian-listed companies that are referred to as ambidextrous and have different degrees of leverage.

The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE).

This conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature.

A new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM.

This study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes.

This paper gathers initial evidence about the nature and features of the equity crowdfunding model in Italy, especially in terms of regulations. The purpose of this study is to examine how equity crowdfunding might support the real estate sector in Italy.

To explore the recent initiatives in the development of FinTech in Italy, especially referring to equity crowdfunding’s instrument, a qualitative perspective is used. In particular, this paper relies on primary data from regulations and secondary data from the public domain, which are examined in relation to the current literature.

The results of this study show that equity crowdfunding represents a funding method that is rapidly increasing in Italy, despite rather rigid regulation. Among the various sectors involved, the real estate sector could benefit from the crowdfunding models and, specifically, from the equity one. The development of new real estate equity crowdfunding portals that allow diversification of investment (by reducing the typical entry barriers for real estate investment) could guarantee greater investment transparency and simplicity.

Real estate crowdfunding can be a simple way to invest in the real estate industry. Thanks to the use of technology, specifically internet-based platforms, this type of crowdfunding allows for small investors, as well as professional investors, to access an asset class otherwise not open to small investment tickets and improve the diversification of investments.

Although recent literature has examined the concept of crowdfunding and highlighted different models, aspects and campaigns, no prior studies, to the authors’ knowledge, have explicitly and jointly investigated, also based on the state of art of regulation, the equity crowdfunding model and the real estate sector in Italy.

The purpose of this paper is to study the effects of social media usage on four knowledge creation processes, namely socialisation, externalisation, combination and internalisation, and innovation in small and medium enterprises (SMEs).

A sample of 96 SMEs has been used to gather data through a standardised questionnaire and test the hypotheses through OLS regression models.

The results indicate that social media influence positively three out of four knowledge creation processes and that they help to foster the innovation process.

From a theoretical perspective, the study contributes to literature considering a specific digital tool and its effect on knowledge creation and innovation. In fact, a few studies have considered the impact of social media usage on other variables, such as ROI and productivity, but never on knowledge creation and innovation through a quantitative study. From a managerial perspective, the research suggests managers to implement and involve social media within business and innovation processes.

The purpose of this paper is to explore how big data can shape ambidextrous business process management (BPM) in terms of exploitation and exploration.

A qualitative methodology involving case studies has been chosen to explore the impact of big data deployment on exploitative and explorative business processes.

The results of case studies offer some opportunities and challenges for service firms related to both the exploitative and the explorative aspects of BPM driven by big data.

The deployment of big data in business processes has attracted a large amount of interest recently. However, these studies are mostly conceptual, so empirical research about this complex relationship is quite rare, especially research with specific arguments regarding exploitative and explorative activities. This paper aims to fill this gap by offering empirical evidence for big data-driven business processes.