Driven by the demands of drastic changes in today’s nature of work due to globalization and technological advances, researchers have continually revisited, redesigned, and restructured work design processes in a quest to identify the key characteristics that can result in desired organizational outcomes. Specifically, in current times, organizations are looking to develop socially responsible outcomes, otherwise referred as corporate social responsibility (CSR). A possible link between work design and CSR has been postulated by researchers, but few studies have emerged where the associations between work design and CSR factors are examined. The purpose of this study was to explore the link between work design and CSR using a work design-CSR conceptual model that was developed based on previous literature. The model depicted relationships between work design factors and CSR factors. Work design factors included work characteristics and worker characteristics. Work characteristics were measured using task, knowledge, social, and contextual characteristics; while worker characteristics were measured using personality traits. CSR Orientation (CSRO) was used as a reflective indicator of CSR at the individual level. The study sample consisted of 941 job incumbents of a public education institution in Texas. The data were collected using an online survey that included the work design questionnaire, the short Big Five Inventory, and the CSRO questionnaire. The model was tested using Structural Equation Modeling. Based on the results, a significant association between work characteristics and CSRO factors were obtained. As hypothesized, associations were found between task characteristics and profit CSRO, and between social characteristics and legal CSRO and philanthropic CSRO. The knowledge characteristics were found to have negative association to philanthropic CSRO. The findings also suggest that jobs that are high on problem solving and job autonomy had a negative association to philanthropic CSRO. Similarly, as the job complexity increased, individuals’ orientation towards profit making decreased, and information processing was found to be linked to legal compliance. Research and practice implications of these results are discussed.

Purpose – The purpose of this study is to advance the understanding of how choices regarding the combination of type of customer and knowledge acquisition technique influences the characteristics of the knowledge that can be acquired, in the early phase of the innovation process. Method – Data was collected through a single case study, varying the type of customer (lead users and non-lead users) and knowledge acquisition technique (survey, interviews and focus groups) in order to create six different combinations. The data was coded using content analysis, after which the codes were quantified by expert scoring on three different characteristics of knowledge (novelty, relevance and feasibility). Calculations were made, highlighting differences between the combinations, verified by t-Tests. Findings – The findings show that data collected through interviews and focus groups among lead users score significantly higher on all characteristics of knowledge than all non-lead user interactions. Comparing surveys, knowledge from lead users only score significantly higher on relevance and feasibility. Within the two customer types for all knowledge characteristics, varying only the type of customer, interviews and focus groups score significantly higher than surveys. Theoretical implications – This study contributes to the literature by deepening the understanding within the fields of knowledge acquisition and customer involvement. Our findings challenge the unilateral view of customer involvement versus no customer involvement (Christensen and Bower, 1996; Ulwick 2002; Gemser and Perks, 2015) by providing a more nuanced picture, taking the process itself into consideration. Practical implications – This study highlight important factors for effective knowledge acquisition from customers, stating that companies should (1) categorize the customers, and (2) conduct focus groups and interviews with customers categorized as lead users, independent whether incremental or radical innovation is desired.

在學術領域之中，其過去對於新藥產業的研究大多集中於「新藥發展策略」、「產業環境分析」與「智慧財產權策略」等領域，而探討新藥研發各階段之團隊組成與運作模式的研究仍然極少。 本研究以個案訪談法為主要研究方式，深入探討兩家台灣新藥研發公司（包括基亞生技、台灣微脂體），並以『新藥研發流程』與『技術知識特質』兩個構面來探索其對於『新藥研發專案團隊運作』之影響。 所得到的初步研究發現包括： 1. 新藥研發專案各階段中，技術知識路徑相依程度與技術知識系統複雜程度呈現負相關，當路徑相依程度越高時，系統複雜程度則越低。 2. 新藥研發專案隨著階段的推進，專案團隊的組成與結構也會隨之產生變化，臨床前與臨床試驗皆有不同的團隊組成與結構。 3. 技術知識系統複雜程度會影響新藥研發團隊組成的異質/多元程度：技術知識系統複雜程度越高，其團隊組成的異質/多元程度越高。 4. 技術知識路徑相依程度會影響團隊採取何種團隊運作策略：（1）路徑相依程度愈「高」或是愈「低」，專案團隊會傾向採取「自行發展」的團隊運作模式；（2）路徑相依程度為「中」時，專案團隊會傾向採取先執行「初步研發」活動之後，再與外部廠商進行「合作研發」。 5. 技術知識路徑相依程度會影響新藥研發專案各階段的團隊類型：（1）技術知識路徑相依程度愈低，專案團隊會傾向採用「重量級」、「自主型」的團隊運作模式；（2）技術知識路徑相依程度愈高會傾向採用「功能型」、「輕量級」的團隊運作模式。 6. 技術知識內隱化程度愈高，該專案在團隊運作上愈容易將外部成員視為內部團隊，甚至在團隊組成上直接將外部成員納入內部團隊之中。 7. 在臨床試驗階段，試驗主持人的過往經驗為成功關鍵之一。 8. 新藥研發廠商若擁有先導研發的能力，可以減短研發時程與成本。 / Most of previous the studies on pharmaceutical industry have been focused on the development strategy, environmental analysis and intellectual property. Very few of them emphasize the stage of new drug development concerning the project team management. This study uses technological knowledge characteristics (path dependence, complexity, and explicitness) and drug development process (drug discovery, non-clinical, pre-clinical, and clinical ) to explore the effect upon project team management. The result of this study： 1. In every stage of new drug development, the path dependence and the complexity of technological knowledge have significantly negative correlation. 2. When the new drug development project evolves into the clinical stage, the structure of project team will be different. 3. The complexity of technological knowledge can affect the composition of team members. If the complexity of technological knowledge is higher, the complexity of members is higher. 4. The path dependence of technological knowledge can affect the development strategy. If the path dependence is higher or lower, the team members prefer “inner development”. If the path dependence is medium degree, the team members prefer “primary inner development” and then “cooperative research and development”. 5. The path dependence of technological knowledge can affect the team structure. If the path dependence is higher, the enterprise prefers “Heavyweight team structure” or “Autonomous team structure”. If the path dependence is lower, the enterprise prefers “Lightweight team structure” or “Functional team structure”. 6. If the explicitness of technological knowledge is higher, the enterprise intends to recruit team member from outside. 7. In clinical stage, the practice investigator can be key person of the success. 8. If the enterprise has the ability of “primary inner development”, the time and the cost of the new drug development can be reduced.