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This paper empirically investigates the processes by which manufacturing firms create radical innovations in their core production process, referred to as radical manufacturing technology innovations (RMTI). The purpose of this paper is to improve the understanding of the processes and practices manufacturing firms use to create RMTI.

Creation processes for 23 RMTI projects from diverse industry and technology contexts are explored. Data were collected via semi-structured interviews, and an inductive analysis was carried out to identify similarities and differences in RMTI types and creation processes.

Three types of RMTI and three alternative RMTI creation processes are revealed and characterized. An integrated view is developed of the activities of the equipment supplier and the manufacturing firm, highlighting their different roles and interaction across the three RMTI creation process types.

The exploratory design limits the depth of the analysis per RMTI project, and the focus is on manufacturing technology innovations in one country. The results extend previous case and context-specific findings on RMTI creation processes and provide novel frameworks for cross-case comparisons.

The manufacturing firms’ proactive role in RMTI creation is defined. A framework is proposed for using different RMTI creation processes for different types of RMTI.

This study addresses recent calls for empirical research on understanding the ways in which process innovations unfold in manufacturing firms. The findings emphasize the role of manufacturing firms as creators of RMTI in addition to their role as innovation adopters and implementers and reveal the suitability of different RMTI creation processes for different RMTI types.

Past work has shown that failure tolerance by principals has the potential to stimulate innovation, but has not examined how this affects which projects principals will start. We demonstrate that failure tolerance has an equilibrium price – in terms of an investor’s required share of equity – that increases in the level of radical innovation. Financiers with investment strategies that tolerate early failure will endogenously choose to fund less radical innovations, while the most radical innovations (for whom the price of failure tolerance is too high) can only be started by investors who are not failure tolerant. Since policies to stimulate innovation must often be set before specific investments in innovative projects are made, this creates a trade-off between a policy that encourages experimentation ex post and the one that funds experimental projects ex ante. In equilibrium, it is possible that all competing financiers choose to offer failure tolerant contracts to attract entrepreneurs, leaving no capital to fund the most radical, experimental projects in the economy. The impact of different innovation policies can help to explain who finances radical innovations, and when and where radical innovation occurs.

The purpose of this paper is to investigate the triadic relationship between project workspace (i.e. spatial context), project type and project manager’s leadership style. It develops the concept of leadership construct (i.e. mental models of leadership to predispose the way leadership is performed) to explain related preferences for workspace and behaviors.

A combination of phenomenological inquiry on preferred workspaces in different project types is combined with a conceptual study on related leadership styles in these settings.

Four different leadership constructs are identified, which are conditioned by workspace and project type: one-on-one, virtual, interactive and mixed leadership. Also, four leadership patterns are identified, and these are related to open office and virtual office settings in product, service, software development and infrastructure construction projects.

The results show the interaction of workspace, project type and leadership styles, which extends existing leadership theory and provides more granularity in determining appropriate leadership styles for project managers.

Practitioners benefit from a more conscious selection of appropriate leadership styles, which positively impacts project results.

By linking workspace, project type and leadership styles, the study is the first of its kind and a novel contribution to theory in project leadership.

This study aims to develop workplace well-being indexes for construction sites of different project types (infrastructure, high-rise and low-rise). Accordingly, the study objectives are to identify the critical factors that affect workplace well-being at construction sites, compare the critical factors between different project types, categorize the critical factors into subgroups and compute indexes for the critical factors and subgroups.

Data from a systematic literature review and semi-structured interviews with construction industry professionals were used to extract 19 potential factors that affect workplace well-being. Then, a structured questionnaire survey was distributed, and 169 valid responses were collected. Finally, the data were analyzed using normalized mean analysis, agreement analysis, factor analysis and fuzzy synthetic evaluation.

The study findings revealed that there are 11, 11, 8 and 12 critical factors across overall infrastructure, high-rise and low-rise construction projects. Out of those, six critical factors are overlapping across project types, including “general safety and health monitoring,” “salary package,” “timeline of salary payment,” “working hours,” “communication between workers” and “planning of the project.” Accordingly, the critical factors can be categorized into two subgroups within each project type. Finally, the development of indexes shows that infrastructure construction projects have the greatest index compared to other project types.

This study contributes to filling the current knowledge gap by developing workplace well-being indexes at construction sites across different project types. The indexes would assist decision-makers in understanding the current state of workplace well-being. This increases the commitment and recognition of well-being across different construction project types.

Previous research on workplace meetings identified critical design features, leader behaviors, group dynamics, post-meeting actions, and other factors which help determine the effectiveness of the meeting. But as much as the authors acknowledge that meetings may differ from each other, much of the research appears to assume that it is meaningful to talk about “the meeting” as a single, generic entity (most commonly, the regularly scheduled staff or department meeting). In fact, though, there are several common types of meetings which vary among themselves in terms of a number of measurable parameters such as structure, meeting members, meeting leader, timing and duration, and scope. It is a gratuitous assumption that what the authors know about workplace meetings based on one especially common type applies to all workplace meetings. This chapter offers a historical review of previous attempts to classify meeting types; it then overviews several common types which deviate from the standard staff meeting paradigm, including project team meetings, debrief meetings, committee meetings, site-wide meetings, shift change meetings, and crew formation meetings. In comparing these types to the staff meeting, the authors identify some of the critical differences, thereby providing a first step toward a true taxonomy of meetings.

Tracking trends in new technology funding patterns is essential for venture scaling. The emerging advanced digital technologies (ADT) such as virtual reality (VR), artificial intelligence (AI), blockchain and Internet-of-things (IoT) promote business innovation adaptations, and in turn, reshape the industrial landscape. To attract nascent funding for such prospective projects among the public, well-articulated project pitches that are equipped with effective marketing communication convey the projects' importance and marketability. Specifically, when the entrepreneurs and the crowdfunding platform users interact via different types of crowdfunding platforms, pitch framing, including the signaling of ADT terms, project location and fundraising goal, becomes imperative to help facilitate crowdfunding success.

Drawing on data collected from six leading US-based equity and reward-based crowdfunding platforms in 2020, an empirical study was performed. Using the text analysis approach, the authors examined the positive effects of incorporating technology orientation on crowdfunding success. While the effect between the project description's signaling of geographic location, fundraising goal and articulation style on fundraising success, while controlling for project and platform characteristics.

The results suggested that the technology-orientated projects are more likely to achieve better fundraising outcomes. Taking crowdfunding platform types, project locations, minimum fundraising goals and articulation with analytical and authentic into consideration, the results still hold.

Building on the theoretical framework of signaling theory, the authors consider the crowdfunding-specific contextual factors to enhance the understanding of the positivity impact of technology orientation. By such addition, it facilitates more effective strategic composition of entrepreneurs' fundraising conversations.

The purpose of this paper is to examine the stock market reactions at the time of new construction contract winning announcements to explore whether the managements made wise bidding decisions and thus create values.

A total of 813 new contracts awarded to publicly traded US construction firms for the years 2000 through 2009 are screened and these are analyzed by applying event study methodology. This paper estimates the effect of an event on stock market’s responses, using cumulative abnormal returns (CARs), and the CAR values are estimated for four types of windows: days 0 (i.e. the day of the event announcement), (−1, +1), (−2, +2), and (−3, +3). The market responses are further subdivided according to such variables as the project type, owner type, project location, work scope, and bidder size.

The results of this study show that the stock market did not curse contract winners by positively responding to the announcements of new contract awards. The sample firms’ market value, on average, is increased by 1.168 percent during the seven-day window period, and is highly significant. In addition, the followings are observed: first, the stock market tends to favor larger contracts over smaller ones; second, small firms’ events receive better market responses than those of large ones; and third, the level of returns varies considerably across the project types. Meanwhile, no statistical differences are observed in CARs for the owner type, work scope, and project location variables.

This study has several limitations. First, potential factors that may have effects on CAR could not be incorporated in the analysis, because a contract award announcement provides only limited information. Second, the level of consistency between stock market responses and the contract’s actual outcomes could not be assessed.

Wise bidding decision has critical implication considering the impact of a new contract award on a firm; a new contract increases the backlog of a firm while it may harm/improve the operating performance or decrease/increase the stockholders’ wealth. Although the overall success level of the current sample, in terms of CARs, is positive and significant, CAR values vary significantly depending on the window period and/or variables. Therefore, managements should exercise careful discretion in selecting a target project and arriving at a bidding decision.

While event study has been widespread for assessing the effect of numerous event types, project award received scarcely any attention. Moreover, it has widely been believed that cost/pricing and contract value are the primary sources for winners’ curse argument. Accordingly, this study can be considered as a seminal work assessing stock market responses to validate winners’ curse argument. This study contributes to the body of knowledge of decision-making discipline. In addition, from a strategic management perspective, the evidence and implications drawn from the analysis results will be valuable resources for bid or no-bid decision making in the project-based industry.

This paper aims to identify the main non-cost factors affecting accurate estimation of life cycle cost (LCC) in building projects.

Ten factors affecting LCC in building project cost estimates are identified through literature and interviews. A questionnaire survey is conducted to rank these factors in order of priority and provide the views of cost practitioners about the significance of these factors in the accurate estimation of LCC. The data from 138 construction building projects completed in UK were collected and analysed via multiple regression to discover the relationship between capital and LCCs and between non-cost factors and cost estimation at each stage of the life cycle (capital, operation, maintenance and LCC).

The results of analysis of existing LCC data of completing project and survey data from cost professionals are mostly consistent with many literature views and provide a reasonable description of the non-cost factors affecting the accuracy of estimates.

The value of this study is in the method used, which involves analysis of existing life data and survey data from cost professionals. The results provide a plausible description of the non-cost factors affecting the accuracy of estimates.

This paper explores how task characteristics in terms of trigger type and task topic influence individual participation in community-based free/libre open source software (FLOSS) development by considering participation in individual tasks rather than entire projects.

A quantitative study was designed using choose tasks that were carried out via the email discourse on the developers' email fora in five FLOSS projects. Choice process episodes were selected as the unit of analysis and were coded for the task trigger and topic. The impact of these factors on participation (i.e. the numbers of participants and messages) was assessed by regression.

The results reveal differences in participation related to different task triggers and task topics. Further, the results suggest the mediating role of the number of participants in the relationships between task characteristics and the number of messages. The authors also speculate that project type serves as a boundary condition restricting the impacts of task characteristics on the number of participants and propose this relationship for future research.

Empirical support was provided to the important effects of different task characteristics on individual participation behaviors in FLOSS development tasks.

The findings can help FLOSS participants understand participation patterns in different tasks and choose the types of tasks to attend to.

This research explores the impact of task characteristics on participation in FLOSS development at the task level, while prior research on participation in FLOSS development has focused mainly on factors at the individual and/or project levels.